Breast cancer is a common and fatal disease among women worldwide. Therefore, the early
and precise diagnosis of breast cancer plays a pivotal role to improve the prognosis of …

Breast cancer is one of the most common and deadliest cancers among women. Since
histopathological images contain sufficient phenotypic information, they play an …

Background Grading of cancer histopathology slides requires more pathologists and expert
clinicians as well as it is time consuming to look manually into whole-slide images. Hence …

Although successful detection of malignant tumors from histopathological images largely
depends on the long-term experience of radiologists, experts sometimes disagree with their …

In recent years, the classification of breast cancer has been the topic of interest in the field of
Healthcare informatics, because it is the second main cause of cancer-related deaths in …

Automatic multi-classification of breast cancer histopathological images has remained one
of the top-priority research areas in the field of biomedical informatics, due to the great …

Breast cancer (BC) classification has become a point of concern within the field of
biomedical informatics in the health care sector in recent years. This is because it is the …

Highlights•A new transfer learning based approach for the classification of breast cancer in
histopathological images is proposed.•It can handle both magnification dependent (MI) and …

Breast cancer is one of the leading death cause among women nowadays. Several methods
have been proposed for the detection of breast cancer. Various machine learning-based …

Background Breast cancer has the highest prevalence among all cancers in women
globally. The classification of histopathological images in the diagnosis of breast cancers is …