Aldo Von Wangenheim

Federal University of Santa Catarina | UFSC · Departamento de Informática e Estatística

In this paper, an irregular displacement-based lensless wide-field microscopy imaging platform is presented by combining digital in-line holography and computational pixel super-resolution using multi-frame processing. The samples are illuminated by a nearly coherent illumination system, where the hologram shadows are projected into a complementary...

An initiative in Brazil teaches computing to young people alongside their parents in family workshops through game programming using Scratch--with benefits that reach beyond the classroom and into the community. Teaching young people basic computing concepts is a growing priority in education—whether in the classroom, as part of outside workshops a...

Image segmentation is a fundamental step in several image processing tasks. It is a process where an image is divided into its constituent regions guided by a similarity criterion. One very interesting image segmentation method is the color structure code (CSC), which combines simultaneously split-and-merge and region-growing techniques. In this pa...

The Santa Catarina State Telemedicine and Telehealth System -STT/SC stores well over 2 million examinations and every month about 20 thousand new imaging exams are sent to the system database. As a significant part of the findings associated to these medical data are stored as text documents, the precise extraction of information is a difficult tas...

In this paper a new portable Digital In-line Holography Platform for biological micro-scale imaging of sperm samples is presented. This platform is based on the shadow imaging principle, where biological samples are illuminated by a nearly coherent light source, and shadows are recorded into a CMOS imaging sensor with no lens requirement. The proje...

Macrofungi produce reproductive structures (spore-bearing), the sporomata, visible to the naked eye. These sporomata have variable shapes, sizes, and colors. They are commonly known as mushrooms, puffballs, earthstars, jelly fungi, and bracket fungi. Informative photos can often be enough to recognize species or taxonomic groups of these macrofungi...

Cervical cancer is a public health problem, where the treatment hasa better chance of success if detected early. This paper explores oneway of to analyze argyrophilic nucleolus organizer regions (AgNOR)stained slide using deep learning approaches of object detection fordetecting the different categories of nucleus. Our results show thata balanced d...

Nowcasting of solar energy considering clouds is important for photovoltaic solar plants and distributed systems. Clouds present a challenge for modeling, due to constant changes in shape and size, and are dependent on local atmospheric conditions. Several methods are being used for the automatic assessment of clouds from the surface to predict sol...

Is common knowledge that there are many neotropical species of macrofungi that can be recognized by the morphology captured in a photograph, at species level or framed in some other taxonomic group. Thus, this guide aims to propose a standard methodology for capturing images that make it possible to recognize macrofungi species through photographs...

Semantic segmentation has been used widely for cytological imaging for several body parts and different stain types. This work explores deep learning models for the segmentation of very small cellular structures in AgNOR-stained cervical cell images and compares state-of-the-art models (HRNet and SegFormer) with traditional U-nets using ResNets as...

The demand for several sources of situational data from the traffic environment has intensified in recent years, through the development of applications in intelligent transport systems (ITS), such as autonomous vehicles and advanced driver assistance systems. Among these situational data, the road surface type classification is one of the most imp...

Papanicolaou is an inexpensive and non-invasive method, generally applied to detect cervical cancer, that can also be useful to detect cancer on oral cavities. Although oral cancer is considered a global health issue with 350.000 people diagnosed over a year it can successfully be treated if diagnosed at early stages. The manual process of analyzin...

Background: Brugada Syndrome is an inherited arrhythmogenic disorder characterized by the presence of specific electrocardiographic features with or without clinical symptoms. The patients present increased risk of sudden death due to ventricular fibrillation. The prevalence of this electrocardiographic pattern differs according to the studied reg...

Although oral cancer is considered a global health issue with 350,000 people diagnosed over a year, it can successfully be treated if diagnosed at early stages. Papanicolaou is an inexpensive and non-invasive method, generally applied to detect cervical cancer, but it can also be useful to detect cancer on oral cavities. The manual process of analy...

Cytology is a low-cost and non-invasive diagnostic procedure employed to support the diagnosis of a broad range of pathologies. Computer Vision technologies, by automatically generating quantitative and objective descriptions of examinations' contents, can help minimize the chances of misdiagnoses and shorten the time required for analysis. To iden...

Cytology is a low-cost and non-invasive diagnostic procedure employed to support the diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or scraping, and it is still predominantly performed manually by medical or laboratory professionals extensively trained for this purpose. It is a time-consuming and repetitiv...

A common need for mobile application development by end-users or in computing education is to transform a sketch of a user interface into wireframe code using App Inventor, a popular block-based programming environment. As this task is challenging and time-consuming, we present the Sketch2aia approach that automates this process. Sketch2aia employs...

Artificial Neural Networks (ANN) are being used on several fields mostly as a mapper from input domain variables into output application area results. Several methods are being used on the automatic assessment of clouds from surface to predict solar power generation, assisted by a camera, side sensors, etc. The present Systematic Literature Review...

Software testing techniques are widely used, Software Testing is indispensable in the quality assurance process, whether in the development or during the tool delivery process. It is necessary to adopt methods, techniques and tools that allow the performance of the test activity in a systematic way and with a scientific basis, thereby increasing pr...

Objective: Describe our experiences using teleconsultation approach to care for pediatric subspecialty follow-up patients during pandemic period. Methods: Synchronous teleconsultation solution was developed and implemented as a multiplatform/multimodality service, capable or running on desktop browsers and smartphones, and capable to handle chat,...

A challenge still to be overcome in the field of visual perception for vehicle and robotic navigation on heavily damaged and unpaved roads is the task of reliable path and obstacle detection. The vast majority of the researches have scenario roads in good condition, from developed countries. These works cope with few situations of variation on the...

In this paper, we present a comparison between convolutional neural networks and classicalcomputer vision approaches, for the specific precision agriculture problem of weed mapping on sugarcane fields aerial images. A systematic literature review was conducted to find which computer vision methods are being used on this specific problem. The most c...

Objective: Verify the best approach for the early detection of cancer in the analysis of images from oral cavity slides stained with Papanicolaou. Method: Deep Learning approaches of segmentation and object detection are compared to detect nuclei in images from three different patients’ slides. Result: The best result indicates an IoU of 0.59 for s...

Objective: Evaluate the use of object detection models for the detection of nuclei stained with silver from patients with cervical cancers. Method: Using images of a dataset containing slides stained with silver nitrate, a method known as AgNOR. However, this method of cytology has not yet been much explored, mainly using computational methods. Thu...

The manual transformation of a user interface design into code is a costly and time-consuming process. A solution can be the automation of the generation of code based on sketches or GUI design images. Recently, Machine Learning approaches have shown promising results in detecting GUI elements for such automation. Thus, to provide an overview of ex...

Work presented at the 10th Brazilian Symposium on Computing Systems Engineering (SBESC 2020), in Section S1: Artificial Intelligence and Power Management, on November 24, 2020. Presentation video available at: https://youtu.be/4YvbmV2Dt64

The demand for a variety of situational data from the traffic environment and its participants has intensified with the development of applications in Intelligent Transport Systems (ITS). Among these data, the road surface type classification is one of the most important and can be used in the entire ITS domain. For its widespread application, it i...

In the recent years, many companies and researchers are putting efforts in order to study topics related to autonomous navigation. A fully autonomous vehicle to be considered safe needs to deal with any type of environment, and in order to reproduce the surrounding scenarios , the vehicle combines multiple cameras and sensors, such as light detecti...

Apresentação em português disponível no link: https://youtu.be/xOh8PJ9T4F8

One of the most relevant tasks in an intelligent vehicle navigation system is the detection of obstacles. It is important that a visual perception system for navigation purposes identifies obstacles, and it is also important that this system can extract essential information that may influence the vehicle’s behavior, whether it will be generating a...

Cervical cancer is the second most common cancer type in womenaround the world. In some countries, due to non-existent or inadequatescreening, it is often detected at late stages, making standardtreatment options often absent or unaffordable. It is a deadlydisease that could benefit from early detection approaches. It isusually done by cytological...

In this paper, we present a structured literature mapping of the state-of-the-art of vehicular perception methods and approaches using inertial sensors. An in-depth investigation and classification were performed employing the results of a systematic literature review. The analysis focused on identifying methods that capture signals provided by ine...

Obstacle detection is a key issue in many current applications, especially in applications that have been increasingly highlighted such as: advanced driver assistance systems (ADAS), simultaneous localization and mapping (SLAM) and autonomous navigation system. This can be achieved by active and passive acquisition vision systems, for example: lase...

The State of Santa Catarina is located in the South of Brazil, covering an area of 95,730 km2, and is divided into 295 municipalities, with an estimated population of 7.164.788 inhabitants. Specialised medical facilities are centralised in urban centres. The State has 39 registered Oral Medicine (OM) specialists (one per 183,700 inhabitants).

Cervical cancer is the second most common cancer type in women. This is a deadly disease that could benefit from early detection methods. Cytology is a possible, noninvasive, alternative to biopsy for diagnosis of malignant lesions, where information about the cells can be obtained. This process consists of staining the slides being able to visuali...

One of the most relevant tasks in an intelligent vehicle navigation system is the detection of obstacles. It is important that a visual perception system for navigation purposes identifies obstacles, and it is also important that this system can extract essential information that may influence the vehicle's behavior, whether it will be generating a...

A challenge still to be overcome in the field of visual perception for vehicle and robotic navigation on heavily damaged and unpaved roads is the task of reliable path and obstacle detection. The vast majority of the researches have as scenario roads in good condition, from developed countries. These works cope with few situations of variation on t...

Computational analysis applicability to paleontological images ranges from the study of the evolution of animals, plants and microorganisms to the habitat simulation of living beings from a specific epoch. It can also be applied in several niches, e.g. oil exploration, where several factors can be analyzed in order to minimize costs related to oil...

Cytology is a low-cost and non-invasive technique where cells are harvested from tissues by aspiration or scraping that is used to diagnose a broad range of pathologies. Although this procedure is performed by clinical consultants extensively trained for that, it is a time consuming and repetitive process where most of the diagnostic criteria are v...

RESUMO: Introdução: As intoxicações por agrotóxicos causam elevada morbimortalidade. A vigilância é necessária da produção até o uso desses produtos. Objetivo: Analisar as intoxicações e os fatores associados à letalidade por agrotóxicos. Método: Trata-se de estudo caso controle baseado nos atendimentos de intoxicação por agrotóxicos realizados em...

Obstacle detection is one of the main tasks in intelligent vehicle navigation systems. Several research works focused on the use of passive vision (cameras) to accomplish this task have been published. In this paper we present a literature mapping of the state of the art in road obstacle detection using frontal images. This mapping is based upon a...

Cervical cancer is the second most common cancer type in women around the world. In some countries, due to non-existent or inadequate screening, it is often detected at late stages, making standard treatment options often absent or unaffordable. It is a deadly disease that could benefit from early detection approaches. It is usually done by cytolog...

In this paper we present a comparison of supervised classifiers and image features for crop row segmentation of aerial images captured from an unmanned aerial vehicle (UAV). The main goal is to investigate which methods are the most suitable to solve this specific problem, as well as to test quantitatively how well they perform for robust segmentat...

Oral cancer is a global health problem, afflicting over 350,000 people each year, with 175 deaths in 2018 (BRAY et al. 2018). The high mortality rate is often associated with the advanced disease stage when firstly identified, usually by biopsy. This is a deadly and disfiguring disease that could greatly benefit from early detection approaches (WEI...

Este manual tem como intuito ensinar o passo-passo do Registro Fotográfico do exame dermatológico através do Sistema de Telemedicina e Telessaúde (STT). Apenas profissionais de saúde, da Unidade Básica de Saúde (UBS), cadastrados podem encaminhar a requisição do exame pelo sistema online. A dermatologia é uma especialidade médica que se concentra...

Este manual tem como intuito ensinar como solicitar um exame dermatológico através do Sistema de Telemedicina e Telessaúde (STT). Apenas médicos das Unidades Básicas de Saúde (UBS) cadastrados podem encaminhar a requisição do exame pelo sistema online. A dermatologia é uma especialidade médica que se concentra o diagnóstico, prevenção e tratamento...

The type of road pavement directly influences the way vehicles are driven. It’s common to find papers that deal with path detection but don’t take into account major changes in road surface patterns. The quality of the road surface has a direct impact on the comfort and especially on the safety of road users. In emerging countries it’s common to fi...

The objective of the current work is to present the NVIDIA's Jetson TX2 platform, exposing instructions for usage and prototyping. As an application of the knowledge presented, the work implements a convolutional neural networks benchmark and collects information related to the performance of each component of the platform. We compare the performa...

In this paper, we present a systematic literature review concerning 3D object recognition and classification. We cover articles published between 2006 and 2016 available in three scientific databases (ScienceDirect, IEEE Xplore and ACM), using the methodology for systematic review proposed by Kitchenham. Based on this methodology, we used tags and...

Situation Awareness provides a theory for agents decision making to allow perception and comprehension of his environment. However, the transformation of the sensory stimulus in beliefs to favor the BDI reasoning cycle is still an unexplored subject. Autonomous agent projects often require the use of multiple sensors to capture environmental aspect...

With the objective to perform a first evaluation of the impact of the integration of a graphic spatial epidemiology tool that allows quasi-realtime georeferenced data visualization into a telemedicine infrastructure, this work presents GISTelemed, an online module specialized on indexing structured and semi-structured data, as well as querying the...

Telepathology systems (TPS) can improve and accelerate the process of diagnosis, particularly in those complex cases where the second expert/specialized opinion is required. To support scenarios involving complex cases, a TPS must provide collaborative virtual microscopy and communication between pathologists to accelerate and improve the process o...