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 …

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

BACKGROUND: Malignant lymphoma is a type of tumor that originated from the
lymphohematopoietic system, with complex etiology, diverse pathological morphology, and …

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

Background Traditional diagnosis methods for lymph node metastases are labor-intensive
and time-consuming. As a result, diagnostic systems based on deep learning (DL) …

Cancer has been considered one of the major threats to the lives and health of people. The
substantial clinical practices show that earlier diagnosis and detection of cancer can provide …

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 …

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 …

Background and objective: Preoperative imaging diagnosis of axillary lymph node (ALN)
metastasis is particularly important for breast cancer patients. This paper focuses on …

Computer-aided diagnosis (CAD) systems have enormous potential in medical imaging and
diagnostic radiology, assisting radiologists in acquiring, managing, storing, and reporting …