The incidence and mortality rate of Breast Cancer (BC) are global problems for women, with
over 2.1 million new diagnoses each year worldwide. There is no age range, race, or …

Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

Cancer is one of the leading significant causes of illness and chronic disease worldwide.
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …

Breast cancer (BC) is one of the most common types of cancer in women, and its prevalence
is on the rise. The diagnosis of this disease in the first steps can be highly challenging …

Simple Summary Breast cancer is the most fatal female cancer, which the existing clinical
and pathological information sometimes fails to diagnose accurately. Recent artificial …

Advancements in AI have notably changed cancer research, improving patient care by
enhancing detection, survival prediction, and treatment efficacy. This review covers the role …

Breast cancer detection is considered a challenging task for the average experienced
radiologist due to the variation of the lesions' size and shape, especially with the existence …

Breast cancer constitutes a prevalent and escalating health concern globally. Additionally,
the significance of early diagnosis for effective treatment cannot be overstated. Ultrasound …

Breast cancer is the second most prevalent form of cancer and is the" leading cause of most
cancer-related deaths in women". Most women living in low-and middle-income countries …

Breast cancer remains a major public health challenge worldwide. The identification of
accurate biomarkers is critical for the early detection and effective treatment of breast cancer …