Automatic skin lesion detection is a key step in computeraided diagnosis (CAD) of Skin cancers, since the accuracy of the subsequent steps in CAD crucially depends on it. In this paper, a novel method of automatic skin lesion segmentation based on texture analysis and supervised learning is proposed. It firstly involve the clustering of training image into homogeneous regions using Mean-shift; ...

Although breast cancer has very high incidence and death rate, the cause of breast cancer is still unknown and there does not exist effective way to prevent the occurrence of breast cancer. Because early detection is a key role in breast cancer diagnosis and treatment, many imaging modalities are continually being developed to screen and diagnose the breast cancer at early stage. Especially, ul...

This book provides a review of various computer vision, image processing and artificial intelligence methods, most of them aimed at assisting diagnostic decision making. Most of the reviewed work revolves around computeraided detection (CAD) in mammography, ranging from the description of the basic structure of a CAD system to a more elaborate exposition of specific methods such as image classi...

Computational assessment of atherosclerotic plaque components in MR images Evaluation of the composition of atherosclerotic plaques in images is an important task to determine their pathophysiology. Visual analysis is still as the most basic and often approach to determine the morphology of atherosclerotic plaques. In addition, computeraided methods have also been developed for identi cation of...

Providing security on transmitted medical image over public channels has become an essential part of computeraided diagnosis systems. In this paper, we propose an efficient image encryption scheme for medical applications based on Arnold transformation and pairing-free identitybased authenticated key agreement protocol. This allows user to send and receive medical images over public channel saf...

Introduction: Early detection and treatment of thyroid nodules increase the cure rate and provide optimal treatment. Ultrasound is the chosen imaging technique for assessment of thyroid nodules. Confirmation of the diagnosis usually demands repeated fine needle aspiration biopsy (FNAB). So, current management, has morbidity and non zero mortality. The goal of the present study ...

Prostate cancer (PC) and benign prostatic hyperplasia (BPH) are the most common diseases diagnosed in men, early and accurate differential diagnosis of which is an important task. DCE-MRI plays an essential role for cancer detection and characterization. Previous studies have tried to characterize time-enhancement curves of malignant and benign prostate tissues, and thereby to deduce the best d...

In this paper, we propose a unified framework to address the problem of cytological computeraided diagnosis. Such an approach relies on our previously introduced formalisms: general formulation of discrete functional regularization, PDEs based morphology and geometric diffusion on graphs. The approach is illustrated through two applications in cytopathology, with examples of nucleus extraction ...

Alexandre Routier, Pietro Gori, Ana B. Graciano Fouquier, Sophie Lecomte, Olivier Colliot, et al.. Evaluation of morphometric descriptors of deep brain structures for the automatic classification of patients with Alzheimer’s disease, mild cognitive impairment and elderly controls. MICCAI Workshop, Sep 2014, Cambridge, United States. pp.8, 2014, Challenge on ComputerAided Diagnosis of Dementia B...