Recent advances and future perspectives of machine learning techniques offer promising
applications in medical imaging. Machine learning has the potential to improve different …

Background Early detection of breast cancer (BC) is crucial in lowering the mortality.
Purpose To present an overview of studies concerning computer-aided detection (CAD) in …

Breast cancer is one of the major public health issues and is considered a leading cause of
cancer-related deaths among women worldwide. Its early diagnosis can effectively help in …

A computer-aided diagnosis (CAD) system requires detection, segmentation, and
classification in one framework to assist radiologists efficiently in an accurate diagnosis. In …

Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …

We present an integrated methodology for detecting, segmenting and classifying breast
masses from mammograms with minimal user intervention. This is a long standing problem …

Mass detection from mammograms plays a crucial role as a pre-processing stage for mass
segmentation and classification. The detection of masses from mammograms is considered …

Background Deep learning is the most promising methodology for automatic computer‐
aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp‐MRI). Purpose To …

Abstract Background and Objective Breast cancer is a fatal threat to the health of women.
Ultrasonography is a common method for the detection of breast cancer. Computer-aided …

Diabetic patients are at the risk of developing different eye diseases ie, diabetic retinopathy
(DR), diabetic macular edema (DME) and glaucoma. DR is an eye disease that harms the …