… In this review, evident data have been collected to observe the role of AI in the field of
cancer diagnosis and detection. The expanded applications of AI in the medical domain with …

… reviews the use of machine vision to detect cancer cells in … cancer diagnosis include
clinical diagnosis, diagnostic medical imaging (DMI), surgical diagnosis, biochemical diagnosis …

… Breast cancer is one of the most common cancers diagnosed in women around the world
and it is a main cause of fatality among women. In low-income and middle-income countries …

… diagnostic tools for breast cancer diagnosis. Optical spectroscopy-based techniques have
been explored widely as tools for rapid breast cancer diagnosis … properties of cancerous and …

… diagnostic process for detecting the cancer cells. The main problem that faces any CAD systems
for early diagnosis of lung cancer … normal and abnormal cells (cancer cells). Thus, using …

… This paper focuses on breast cancer diagnosis. Breast cancer occurs majorly in women aged
40 years and … In Malaysia, breast cancer has been found to be the most common form of …

… The objective of this article is to provide update on usefulness of AI in diagnosis and
management of skin cancer. We reviewed the latest research and key discoveries in ML …

… extends beyond just cancer detection and grading, but also measures cancer proportion and
… second read system showed early utility in preventing a missed prostate cancer diagnosis. …

… machines in skin cancer diagnostic can potentially provide low-cost universal access to vital
diagnostic care, 13 cancer … , 14 and in breast cancer research prediction and prognosis. …

… Support vector machine (SVM) approach is introduced in this paper for cervical cancer
diagnosis. Two improved SVM methods, support vector machine-recursive feature elimination (…