Breast cancer is one of the largest causes of women's death in the world today. Advance
engineering of natural image classification techniques and Artificial Intelligence methods …

Image segmentation is a challenging process in numerous applications. Region growing is
one of the segmentation techniques as a basis for the Seeded Region Growing method. A …

Microscopic image analysis is one of the challenging tasks due to the presence of weak
correlation and different segments of interest that may lead to ambiguity. It is also valuable in …

Breast cancer is one of the most common cancers in women's community, which is
responsible for millions of death cases. The early diagnosis of breast cancer in its early …

Crohn's disease (CD) diagnosis is a tremendously serious health problem due to its
ultimately effect on the gastrointestinal tract that leads to the need of complex medical …

During the last few years, the classification of imbalanced datasets is one of the crucial
issues in medical diagnosis since it is related to the distribution of normal and abnormal …

With the increase of unlabeled data in medical datasets, the labelling process becomes a
more costly task. Therefore, active learning provides a framework to reduce the amount the …

The hypertension (HTN) and coronary artery disease (CAD) are the major cardiovascular
diseases existing globally. In the present work, the heart rate variability (HRV) of normal …

Computer aided diagnosis for mammogram images have seen positive results through the
usage of deep learning architectures. However, limited sample sizes for the target datasets …

Glaucoma has become a devastating disease after cataract to cause blindness. Thus, early
diagnoses for glaucoma can prevent the vision loss. Computer-aided diagnosis (CAD) …