Brain image segmentation is one of the most time-consuming and challenging procedures in
a clinical environment. Recently, a drastic increase in the number of brain disorders has …

Brain tumor localization and segmentation from magnetic resonance imaging (MRI) are hard
and important tasks for several applications in the field of medical analysis. As each brain …

Amongst the most common causes of death globally, stroke is one of top three affecting over
100 million people worldwide annually. There are two classes of stroke, namely ischemic …

Brain tumor classification is an expensive complicated challenge in the sector of clinical
image analysis. Machine learning algorithms enabled radiologists to accurately diagnose …

Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …

Breast cancer is the most common cancer in women. Ultrasound is a widely used screening
tool for its portability and easy operation, and DCE-MRI can highlight the lesions more …

Optical coherence tomography (OCT) is one of the most commonly used ophthalmic
diagnostic techniques. Macular Edema (ME) is the swelling of the macular region in the eye …

The annotation of brain lesion images is a key step in clinical diagnosis and treatment of a
wide spectrum of brain diseases. In recent years, segmentation methods based on deep …

Timely diagnosis of medical conditions can significantly mitigate the risks they pose to
human life. Consequently, there is an urgent demand for an effective auxiliary model that …

Stroke, particularly ischemic stroke, is a major cause of disability and one of the leading
causes of adult mortality worldwide. Early and prompt management of stroke patients can …