The immune system is of critical importance in the development of cancer. The evasion of
destruction by the immune system is one of the emerging hallmarks of cancer. We have built …

Background Deep learning methods have demonstrated remarkable performance in
pathology image analysis, but they are computationally very demanding. The aim of our …

Computer-aided histopathological image analysis for cancer detection is a major research
challenge in the medical domain. Automatic detection and classification of nuclei for cancer …

There are many factors may affect human health, such as diseases and parasite infections.
When scientists are fighting viruses, bacteria and parasites, they need to observe the …

Breast cancer is a common cancer in female cancer patients, and histopathological image
analysis is the gold standard for cancer diagnosis. Therefore, it is of great significance to use …

Background Abdominal lymph node partition is highly relevant to colorectal cancer (CRC)
metastasis, which may further affect patient prognosis and survival quality. In the traditional …

At present, convolution neural network has been applied to the classification of laryngeal
cancer. An improved network model, RICN model, is constructed by combining Resnet …

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 …

Leukemia is a kind of blood cancer that influences people of all ages and is one of the
leading causes of death worldwide. Acute lymphoblastic leukemia (ALL) is the most widely …

Leukemia is a disease caused by the abnormal production of abnormal blood cells. In Acute
Lymphoblastic Leukemia (ALL), lymphoblast cells do not develop into lymphocytes. To …