
Lahcen KouttiIbnou Zohr University - Faculty of Science Agadir · Computer Science
Lahcen Koutti
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74
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Introduction
Publications
Publications (74)
Accurately segmenting gastrointestinal (GI) disease regions from Wireless Capsule Endoscopy images is essential for clinical diagnosis and survival prediction. However, challenges arise due to similar intensity distributions, variable lesion shapes, and fuzzy boundaries. In this paper, we propose MLFE‐UNet, an advanced fusion of CNN‐based transform...
Gastrointestinal (GI) disease examination presents significant challenges to doctors due to the intricate structure of the human digestive system. Colonoscopy and wireless capsule endoscopy are the most commonly used tools for GI examination. However, the large amount of data generated by these technologies requires the expertise and intervention o...
As an emerging technology that uses a pill‐sized camera to visualize images of the digestive tract. Wireless capsule endoscopy (WCE) presents several advantages, since it is far less invasive, does not need sedation and has less possible complications compared to standard endoscopy. Hence, it might be exploited as alternative to the standard proced...
Medical image segmentation is crucial for accurate diagnosis and treatment in medical image analysis. Among the various methods employed, fully convolutional networks (FCNs) have emerged as a prominent approach for segmenting medical images. Notably, the U-Net architecture and its variants have gained widespread adoption in this domain. This paper...
One of the most dangerous types of skin cancer, malignant melanoma, must be detected early on in order to receive successful therapy. If melanoma is not diagnosed in a timely manner, it might possibly result in death. According to clinical research, because of their varied hue, texture, and imperceptible borders, these early melanoma indications ar...
A revolutionary imaging device termed wireless capsule endoscopy (WCE) provides a painless, noninvasive vision of the complete gastrointestinal (GI) tract. Given the poor intensities and vague differences between bleeding and normal regions, successful bleeding region detection in WCE recordings is essential for the premature diagnosis and restorat...
Globally, colorectal cancer is the primary cause of cancer-related death. Colonoscopy is currently one of the most common ways to identify precancerous gastrointestinal disorders. Thus, early and precise polyp segmentation is of therapeutic importance in reducing the risk of developing cancer. The manual examination is a tedious and time-consuming...
Colorectal cancer (CRC) stands out as one of the most prevalent global cancers. The accurate localization of colorectal polyps in endoscopy images is pivotal for timely detection and removal, contributing significantly to CRC prevention. The manual analysis of images generated by gastrointestinal screening technologies poses a tedious task for doct...
Pneumonia is a serious inflammatory disease that causes lung ulcers, and it is one of the leading reasons for pediatric death in the world. Chest X-rays are perhaps the most commonly utilized modalities to recognize pneumonia. Generally, the illness could be analyzed by a specialist radiologist. But for some reason, the diagnosis may be subjective....
Deep learning techniques can accurately detect and grade abnormal findings on images from Wireless Capsule Endoscopy (WCE). However, the prediction accuracy of handcrafted or deep learning in red Lesion, polyp and ulcer diseases is still under investigation. Knowing the utility of an automatic method for abnormalities detection from WCE images and...
Wireless capsule endoscopy (WCE) is a technology that uses a pill-sized camera to visualize images of the digestive tract. It presents several advantages, since it is far less invasive, does not require sedation and has less potential complications compared to standard endoscopy. Hence, it might be exploited as alternative to the standard procedure...
Video capsule endoscopy (VCE) is a non-invasive procedure to examine the human bowel. The VCE technology generates thousands of images from different parts of the gastrointestinal tract. Since the examination of these images is a tedious and time-consuming task for doctors, automated diagnosis of digestive diseases from VCE images is highly desired...
Coastal Upwelling (CU) is an ocean phenomenon that is reported to be associated with coastal ecosystems and can be considered as a reference to spot fishing grounds. Its detection is very important, not only in fisheries exploitation and management but also to study the global oceanic circulation and in other applications such as coastal monitoring...
The significant challenge in detecting polyps in wireless capsule endoscopy and colonoscopy images lies in identifying the small ones. This detection task exhibits variability related to multiple characteristics such as color, shape, texture, morphology and size. In recent times, a lot of research has been done on the detection of polyps using the...
This study leverages advancements in deep learning to enhance the analysis of satellite image time series in marine geoscience, focusing on the prediction of sea surface temperature (SST) and detection of coastal upwelling. By employing Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), including Long Short-Term Memory (LSTM...
The capacity to visualize the gastrointestinal tract has been transformed by the diagnostic technique known as Wireless Capsule Endoscopy (WCE). Due to the enormous number of images produced, however, the time required to analyze these frames is relatively expensive. Rapider clinical treatments may be made possible by the computerized identificatio...
Vision Transformer (ViT) and its variants have gained significant prominence in computer vision due to their exceptional performance across various tasks. However, ViTs are data-hungry models that require vast amounts of data for training. Given the scarcity of medical data, this paper presents a fine-tuned vision transformer specifically designed...
Colorectal cancer is the main reason for mortality from cancer globally. One of the most popular methods for spotting precancerous gut illnesses right now is a colonoscopy. As a result, early and accurate polyp segmentation has great therapeutic significance in lowering the likelihood that cancer may develop. For doctors, the manual examination is...
Critical event reporting Wireless Sensor Networks (WSNs) applications need vital requirements (extended network lifetime, reliability, real time responsiveness, and scalability) to be met to ensure outstanding efficiency. Previous frameworks only consider few individual requirements, thus ignoring the other equally important ones. Ensuring that an...
Wireless capsule endoscopy (WCE) is a non-invasive video technique used to investigate gastrointestinal diseases such as hemorrhage, ulcer, and polyp. Automatic detection systems that primarily use features derived from WCE images are being developed in order to bypass a difficult and time-consuming manual evaluation procedure. Bleeding is one the...
Colorectal cancer is one of the most common malignancies and the leading cause of cancer death worldwide. Wireless capsule endoscopy is currently the most frequent method for detecting precancerous digestive diseases. Thus, precise and early polyps segmentation has significant clinical value in reducing the probability of cancer development. Howeve...
Citation: Souaidi, M.; Lafraxo, S.; Kerkaou, Z.; El Ansari, M.; Koutti, L.
Abstract: Small bowel polyps exhibit variations related to color, shape, morphology, texture, and size, as well as to the presence of artifacts, irregular polyp borders, and the low illumination condition inside the gastrointestinal GI tract. Recently, researchers developed...
Melanoma is one of the worst types of skin cancer. It appears on the skin’s surface and is caused by melanocytes. The same cells are also responsible for benign lesions known as moles, which resemble melanoma in its early stages. Melanoma is frequently curable if properly treated. Much research is now focused on the automated detection of melanomas...
Wireless capsule endoscopy (WCE) is a non-surgical
diagnostic procedure enabling the examination of the whole
human gastrointestinal tract. Thus, a patient swallows a capsule
that travels down the human digestive system and a camera
captures wirelessly thousands of images that are transmitted to
an external recording device. The diagnosis of these...
Wireless capsule endoscopy (WCE) is a technology that captures images of the digestive tract with a pill-sized camera. Capsule endoscopies are used to exclude or diagnose disorders such as bleeding, early symptoms of gastrointestinal cancer, abdominal pain, Crohn's disease, Celiac disease, polyps, and ulcers. However, the main cause for a capsule e...
Diseases of the gastrointestinal (GI) system have increased dramatically, where colon and rectal cancer are causing a very large number of patient deaths in 2020. The process by which a patient swallows a camera-embedded is called wireless capsule endoscopy (WCE). This camera passes through the gastrointestinal (GI) system. Its role is to detect an...
The AFB BJ+ DAC* is the latest variant of asynchronous forward bounding algorithms used to solve Distributed Constraint Optimization Problems (DCOPs). It uses Directional Arc Consistency (DAC*) to remove, from domains of a given DCOP, values that do not belong to its optimal solution. However, in some cases, DAC∗ does not remove all suboptimal valu...
The AFB_BJ+-AC∗ algorithm is one of the latest algorithms used to solve Distributed Constraint Optimization Problems known as DCOPs. It is based on soft arc consistency techniques (AC∗) to speed up the process of solving a problem by permanently removing any value that doesn’t belong to the optimal solution. In fact, these techniques have greatly c...
This paper proposes a new edge based stereo matching approach for road applications. The new approach consists in matching the edge points extracted from the input stereo images using temporal constraints. At the current frame, we propose to estimate a disparity range for each image line based on the disparity map of its preceding one. The stereo i...
With the emergence of consumer RGB-D sensors, discriminative modeling has been shown to perform well in estimating human body pose. However, articulated hand pose estimation remains a challenging problem, mostly due to its high flexibility, occlusions, noisy data, and small area of the fingertips. In this paper, we present an efficient discriminati...
The extraction of the information from database systems requires the formulation of queries using database query languages, such as Structured Query Language (SQL). This formulation needs the knowledge of the model and the structure of the database. However, non-expert users cannot write such queries. This is why a lot of works have been developed...
Human gesture recognition has become a pillar of today’s intelligent Human-Computer Interfaces as it typically provides more comfortable and ubiquitous interaction. Such expert system has a promising prospect in various applications, including smart houses, gaming, healthcare, and robotics. However, recognizing human gestures in videos is one of th...
Databases are gaining prime importance in the world of modern computing. Retrieving information stored in databases required the knowledge of the database query languages such as structured query language (SQL). However, learning this language can be difficult for non-expert users. Hence, the using of natural language is a very easy and convenient...
Databases are gaining prime importance in the world of modern
computing. Retrieving information stored in databases required the knowledge of the database query languages such as structured query language (SQL).
However, learning this language can be difficult for non-expert users. Hence, the using of natural language is a very easy and convenient...
In the information era, people’s lives are deeply impacted by IT via exposure to social media, emails, RSS feed, chats, web pages, etc. Such data is considered very valuable nowadays since it may help companies to better their strategies. For example, companies can analyse their customers’ trends or their competitors marketing interventions and adj...
Defining the correct number of clusters is one of the most fundamental tasks in graph clustering. When it comes to large graphs, this task becomes more challenging because of the lack of prior information. This paper presents an approach to solve this problem based on the Bat Algorithm, one of the most promising swarm intelligence based algorithms....
Since 1999, the number of meteorites found in the Northwest of Africa (Morocco, Mauritania, Mali and Algeria) has seen a considerable increase. Being responsible for the approval of new meteorites and meteorite names, the Nomenclature Committee of the “Meteoritical Society” reacted promptly and classified these meteorites under the acronym “NWA” (N...
Nowadays, databases represent a great source of information. To extract information from these databases, the user needs to write queries using database query languages, such as Structured Query Language(SQL). Generally, for using this type of language, this user must know the structure of the database. However, this task can be difficult for non-e...
Nowadays, databases represent a great source of information. To extract information from these databases, the user needs to write queries using database query languages, such as structured query language (SQL). Generally, for using this language, this user must know the database structure. However, this task can be difficult for non-expert users. I...
http://sdiwc.net/digital-library/stabilization-of-particle-filter-based-vertebrae-tracking-in-lumbar-spinal-videofluoroscopy -- - - - - - - - - - - - - ---- ---- --- ---- ------- ---- --------------special---*---- - - -- issue - - - - - - - - - - - - - - - * - - - - -- -- - - - - - - journal - - - - - - - - * - - - - - - - - - - - - - - - - - -- -...
Several vision-based road applications use stereo vision algorithms, and they generally must be fast to be applied in real time. The main problem in stereo vision is the stereo matching problem, which consists in finding correspondences between two stereo images. In this paper, we present a new fast edge-based stereo matching approach devoted to ro...
In this paper, we present a fast approach for matching stereo images acquired by a stereo sensor embedded in a moving vehicle. The proposed approach exploits the disparity map already computed at the preceding frame to improve the matching results at the current one. An edge association method is used to track the edge curves over time. Local dispa...
This paper introduces a novel approach to measure the correspondence between objects, and exploit it for object and image classification tasks, using the proposed Partial Dominant Orientation Descriptor (PDOD). In particular, the object is represented by a set of stable and informative key locations sampled using Difference of Gaussian. The propose...
http://ieeexplore.ieee.org/document/7945720/ ............................................................................................................................................................................................. In omnidirectional vision, catadioptric sensors causes a non-uniform resolution and geometric distortions in result...
This paper describes a method for object indexing and retrieval using a new feature descriptor called Partial Dominant Orientation Descriptor (PDOD). The extraction process of the PDOD starts by sampling the object into a set of stable and informative key locations using Difference of Gaussian (DoG), so that the retrieval can proceed successfully d...
Extracting information from a database system becomes a primary obligation. More and more we are forced to recognize the importance of providing easy access to information stored in a database system. However existing tools that allow users to query database using database query languages such as SQL (Structured Query Language) are difficult for no...
On the basis of a necessary development of the road safety, vision-based vehicle detection techniques have gained an important amount of attention. This work presents a novel vehicle detection and tracking approach, and structured based on a vehicle detection process starting from, images or video data acquired from sensors installed on board of th...
The aim of this study is to propose an experimental approach supported by an analytical analysis for polymer materials under dynamic loading. The experimental technique of Hop- kinson split pressure bar is used which allows for high impact velocities. The specimens are subjected to the three-point bending and the efficiency of the experimental tech...
Competitive Intelligence is a set of coordinated researches, extractions and treatments of information that stakeholders find useful for them in order to ease the process of decision making. The Competitive Intelligence System Xplor EveryWhere (XEW) helps its users search, visualize, validate and share useful data. In this paper, we will introduce...
Nowadays, there is a vast amount of information available in line. One of the major unsolved problems in the Competitive Intelligence (CI) is the management of unstructured data. The unstructured data such as multimedia files, documents, comments, customer support request, news, emails, reports and web pages are difficult to capture and store in th...
A brief presentation of the XEWGraph project
The principal motivation of this work is the development and realization of smart cooling and sensors devices based on the elaborated and characterized semiconducting thermoelectric thin film materials. For the first time, the details design of our sensor and the principal results are published.
Fabrication and characterization of Bi/Sb/Te (BST) s...
In this paper, the refractive index, extinction coefficient and optical band gap of xPbO–(1 − x)TiO2 systems are determined by spectroscopic ellipsometry in the spectral range of wavelength 250–850 nm. All films are elaborated by mixed reactive thermal co-evaporation on a SiO2/Si substrate. The Tauc–Lorentz model is used to extract the optical resp...
The coagulation of milk is a process during which the milk that is liquid becomes a strong viscous. It is the first and most important stage in cheese industry. Among the methods more used to control the process of the milk coagulation, it is necessary to mention the method ultrasonic sound. This method permits followed it on-line of the coagulatio...
Spin-polarized first-principles band structure calculations have been performed for antiferromagnetic FeS. The experimental band gap of 0.04 eV is not opened in the local spin density approximation (LSDA) density of states but a marked dip appears at the Fermi energy located within the t2g minority subband. The result is a consequence of the octahe...
Nous avons étudié la densité de l'état fondamental des monosulfures FeS, Cos et NiS dans les phases antiferromagnétique et paramagnétique en utilisant les équations de Kohn-Sham. Ces équations sont représentées dans le formalisme des combinaisons linéaires d'orbitales atomiques (CLOA). Elles sont résolues de façon autocohérente dans le cadre de l'a...
The paramagnetic and antiferromagnetic densities of states for hexagonal NiS have been calculated within the local spin-density approximation. Three factors act favourably as regards the appearance of a gap in the ordered magnetic phase: the presence of the cubic field, the spin-polarized treatment and the lattice dimensions. The forbidden band is...
We study the key parameters for pulsed laser deposition of ZnSe layers on (100) GaAs or (111) CaF2 substrates. The crystalline and optical properties of these epilayers are characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), Rutherford back scattering (RBS) and by optical spectroscopy. The ZnSe layers obtained are compared...