Dense convolutional network (DenseNet) is a hot topic in deep learning research in recent
years, which has good applications in medical image analysis. In this paper, DenseNet is …

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 …

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 …

Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Medical imaging refers to several different technologies that are used to view the human
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …

Microscopic analysis of blood-cells is an essential and vital task for the early diagnosis of life-
threatening hematological disorders like blood cancer (leukemia). We have presented an …

Colorectal cancer has become one of the major causes of death throughout the world. Early
detection of Polyp, an early symptom of colorectal cancer, can increase the survival rate to …

Breast cancer is one of the most common death causes amongst women all over the world.
Early detection of breast cancer plays a critical role in increasing the survival rate. Various …

Medical image segmentation is a crucial way to assist doctors in the accurate diagnosis of
diseases. However, the accuracy of medical image segmentation needs further …

Breast cancer is a strong risk factor of cancer amongst women. One in eight women suffers
from breast cancer. It is a life‐threatening illness and is utterly dreadful. The root cause …