There are more than 60 subtypes of Lymphoma. This diversity usually requires a specialised
pathologist for diagnosis. We aimed to investigate the effectiveness of Artificial Neural …

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

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 …

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 …

Being part of hematopoietic lymphoid tissue tumors, lymphoma has aroused wide concerns
in the field of cancer research. Therefore, a lymphatic cancer diagnosis has become a …

Manual lymph node classification is a tedious and time-consuming task. It requires a
histopathologist to discriminate a lymph node from other look-alike kinds of tissues. The …

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

Malignant lymphoma is one of the most severe types of disease that leads to death as a
result of exposure of lymphocytes to malignant tumors. The transformation of cells from …

Determiningcanceranditstypeisaverydifficult…. With the development of image classification
techniques, deep learning strategies haveoccupied the first positions in many medical …

The accurate identification and categorization of cancer structure or sub-type is an important
task because of considerable workload and expertise in pathological skills. The current …