Abstract Machine learning (ML) algorithms have made a tremendous impact in the field of
medical imaging. While medical imaging datasets have been growing in size, a challenge …

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 …

Histopathological images are the gold standard for breast cancer diagnosis. During
examination several dozens of them are acquired for a single patient. Conventional, image …

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 …

Abstract The Deep Convolutional Neural Network (DCNN) is one of the most powerful and
successful deep learning approaches. DCNNs have already provided superior performance …

Biopsy is one of the most commonly used modality to identify breast cancer in women,
where tissue is removed and studied by the pathologist under the microscope to look for …

Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis
of this disease can significantly improve the efficiency of treatment. Computer-Aided …

Feature vectors provided by pre-trained deep artificial neural networks have become a
dominant source for image representation in recent literature. Their contribution to the …