Early diagnosis of brain tumors plays an important role in a patient's treatment and makes it
easy to save his/her life. The conventional method of manually detecting brain tumors from …

A high mortality rate is associated with ovarian cancer, one of the most common types of
cancers in women. Ovarian cancer refers to a group of disorders that develop in the ovaries …

Aiming at the problem of frequent false and missed detection due to the dense and scattered
distribution of cancer cells in the pathological images of cervical cancer cells, the complex …

Ovarian cancer (OC) is the primary gynecological malignancy. Precise prediction and
subtype classification of OC (Serous, Mucinous, Endometrioid, Clear cell) are vital within the …

Objective This study aimed to evaluate the performance of the deep convolutional neural
network (DCNN) to discriminate between benign, borderline, and malignant serous ovarian …

Pancreatic cancer is associated with higher mortality rates due to insufficient diagnosis
techniques, often diagnosed at an advanced stage when effective treatment is no longer …

Recent advancements in image processing and computer vision have brought significant
transformations in healthcare technology, leading to significant improvements in diagnosis …

With the continuous development of society, natural pollution and people's unhealthy habits
have led to an increasing number of patients with gastrointestinal cancer. As a malignant …

Cancer continues to be a global health challenge, demanding innovative solutions to
improve early detection and treatment outcomes. This research project harnesses the power …

A multimedia-based medical decision-making system is an ultimate requirement in the
medical imaging domain. In the healthcare sector, achieving quick and efficient results is …