Cancer diagnosis and treatment is a field where AI has the potential to provide tremendous
scope for targeted large scale interventions. NITI Aayog, Government of India, in its …

Simple Summary Histopathological examination of lymph node (LN) specimens allows the
detection of hematological diseases. The identification and the classification of lymphoma, a …

Current cancer diagnosis procedure requires expert knowledge and is time-consuming,
which raises the need to build an accurate diagnosis support system for lymphoma …

A pathological evaluation is one of the most important methods for the diagnosis of
malignant lymphoma. A standardized diagnosis is occasionally difficult to achieve even by …

Recent studies have shown promising results in using Deep Learning to detect malignancy
in whole slide imaging, however, they were limited to just predicting a positive or negative …

Digital Pathology is the technique of digitizing histology slides to create high-resolution
images. One of the important applications for digital pathology is tissue level classification …

Lymphoma is a type of blood cancer, whose around 80,000 new cases are diagnosed every
year. It is generated in body's immune system cells like lymph nodes, spleen, bone marrow …

The use of deep learning techniques to diagnose medical disorders has gained increasing
popularity in recent times. The unbeatable accuracy of deep learning algorithms often …

The apparent similarities between skin conditions have made medical diagnosis difficult.
Although melanoma is the most well-known type of skin cancer, other diseases have …

Cancer is a lethal disease that is frequently brought on by the accumulation of hereditary
disorders and many pathological alterations. Cancerous cells are aberrant, life-threatening …