A well-researched field is the development of Computer Aided Diagnosis (CADx) Systems
for the benign-malignant classification of abnormalities detected by mammography. Due to …

Multimodal medical image fusion (MMIF) plays critical roles in image-guided clinical
diagnostics and treatment. Pulse coupled neural network (PCNN) has been applied in …

Enhancement increases accuracy and efficiency of radiologist interpretation of mammogram
images. However, most modalities exhibit inadequate contrast, weak tissue boundaries, etc …

Multimodal image fusion is an important area of research because it has been shown to help
get high-quality diagnostic and treatment results in the medical field. But combining images …

This paper aims to examine patient prioritization challenges faced by surgeons attending to
patients awaiting surgery and proposes a decision-making framework named PSWL-CCI to …

Breast cancer, a potentially life-threatening disease, highlights the crucial need for early and
accurate detection. This study investigates the application of deep learning methods …

A well-researched field is the development of Computer Aided Diagnosis (CADx) Systems
for the benign-malignant classification of abnormalities detected by mammography. Due to …