Lessage Xavier

Lessage Xavier
Université de Mons · Department of Computer Science

About

9
Publications
2,193
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
6
Citations
Introduction
Skills and Expertise

Publications

Publications (9)
Article
Full-text available
The aging of the world's population, the willingness of elderly to remain independent, and the recent COVID-19 pandemic have demonstrated the urgent need for home-based diagnostic and patient monitoring systems to reduce the financial and organizational burdens that impact healthcare organizations and professionals. The Internet of Medical Things (...
Chapter
Recently, Artificial Intelligence (AI) and more particularly Deep Learning (DL) applications gained significant importance in several domains such as computer vision, robotics, medical imaging, etc. Despite the excellent results of AI models, in terms of precision and performance, their decisions are not always interpretable and explainable, which...
Article
Nowadays, cancer is one of the leading causes of human death in the world. In 2020, breast carcinoma represented 11.7% of cancers reported in the female world population. Medical imaging is crucial for breast cancer screening and occupies a large place in diagnosis. Early screening with digital mammography is the key factor of successful detection...
Chapter
The latest advances of deep learning and particularly convolutional neural networks (CNNs) have proven more than once their high accuracy in disease detection. In this chapter, we propose a new deep learning-based approach for COVID-19 detection from chest X-ray images. The proposed approach applies, in an efficient way, the techniques of transfer...
Article
Full-text available
The latest advances in machine learning and in particular with convolutional neurons (CNN) have proven more than once their great accuracy in the detection of diseases. In this paper, we present a new approach for COVID-19 detection from chest X-ray images using Deep Learning algorithms. An efficient process consisting of techniques of transfer lea...
Article
Full-text available
Breast cancer screening is a public health issue. Knowing that one in nine women will be affected by this disease, the detection of its first signs is crucial. Computer Assisted Diagnostic Systems (CADx) can help the radiologist to read mammograms and play a key role in the early detection of breast cancer. Nowadays, machine learning algorithms are...
Article
Full-text available
Screening for coronary artery disease is a major health issue, knowing that the most common cause of death in industrialized countries is cardiovascular pathology (coronary artery disease, stroke, other cardiovascular disease). Computer aided diagnosis systems (CADx) assist cardiologists and play a key role in detecting abnormalities and treating c...
Poster
Full-text available
Plusieurs modèles de CNN (InceptionV3, Xception, VGG16, …) ont été testés sur des bases de données publiques constituées d'images mammographiques annotées (MIAS, INbreast, DDSM, ...) dont la performance a été améliorée grâce à différentes actions combinées visant à augmenter les données d'apprentissage. L'objectif consiste à examiner l'efficacité d...
Article
Full-text available
Breast cancer is one the major causes of cancer death among women in the world. Early screening and diagnosis can significantly reduce the death rate related to this disease. Digital mammography is an efficient imaging modality, which present a convenient and an easy tool usually used for masses, and microcalcification detection in the case of brea...

Network

Cited By

Projects

Project (1)
Project
we are working on development of CAD system for breast tissue classification