With recent advances in digital microscopy, quantitative analysis of pathology images has
become important in disease diagnosis as well as in understanding the underlying reasons …

Various kinds of Cancers have been the most dreaded diseases, which are responsible for a
substantial portion of deaths year after year. Early detection of Cancer is crucial in saving the …

The field of histopathological image analysis has evolved significantly with the advent of
digital pathology, leading to the development of automated models capable of classifying …

This paper investigates the opportunities for applying deep learning networks to tumour
classification. It finds that simple networks can be found to deliver reasonable performance …

Every year, doctors diagnose skin cancer in around 3 million Americans or more. Now it is
one of the most common types of cancer. If skin cancer is detected early, it can easily be …

Artificial intelligence in the form of deep neural networks have taken off in the last few years
and AI-based applications have become a part of our everyday life. However, the start of …

In the rapidly evolving landscape of medical diagnostics, the early detection and accurate
classification of skin cancer remain paramount for effective treatment outcomes. This …

Diagnostic histopathology is a gold standard for diagnosing hematopoietic malignancies.
Pathologic diagnosis requires labor-intensive reading of a large number of tissue slides with …

Skin cancer is among the most prominent types of cancer, which if not detected in the initial
stages can metastasize and become fatal. As the number of Melanoma cases surges, the …

Breast cancer is a fatal disease affecting women, and early detection and proper treatment
are crucial. Classifying medical images correctly is the first and most important step in the …