Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

Deep learning (DL) algorithms have rapidly become a robust tool for analyzing medical
images. They have been used extensively for medical image segmentation as the first and …

Breakthroughs in healthcare analytics can help both the doctor and the patient. Analytics in
healthcare can help spot and diagnose diseases early on. Therefore, they can also be used …

A generative adversarial network (GAN) is one of the most significant research directions in
the field of artificial intelligence, and its superior data generation capability has garnered …

The automatic segmentation of blood cells for detecting hematological disorders is a crucial
job. It has a vital role in diagnosis, treatment planning, and output evaluation. The existing …

Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

The herpesvirus, polyomavirus, papillomavirus, and retrovirus families are associated with
breast cancer. More effort is needed to assess the role of these viruses in the detection and …

The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …

Tomographic image reconstruction is generally an ill-posed linear inverse problem. Such ill-
posed inverse problems are typically regularized using prior knowledge of the sought-after …

In modern‐day medicine, medical imaging has undergone immense advancements and can
capture several biomedical images from patients. In the wake of this, to assist medical …