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 one of the most common invading cancers in women. Analyzing breast
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …

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 …

The early diagnosis of breast cancer using pathological images is of the vital importance.
Recently, breast cancer histopathology image classification methods based on convolution …

Researches on breast cancer histopathological image classification have achieved a great
breakthrough using deep backbones of Convolutional Neural Networks (CNNs) in recent …

A crucial element in the diagnosis of breast cancer is the utilization of a classification method
that is efficient, lightweight, and precise. Convolutional neural networks (CNNs) have …

Convolutional neural networks (CNN) is one of the most important branches of deep
learning, which always shows the excellent performance on image classification via unique …

Abstract Convolutional Neural Networks (CNNs) have become increasingly popular for
hyperspectral image (HSI) classification due to their ability to capture spatial and spectral …

Histopathological images provide the medical evidences to help the disease diagnosis.
However, pathologists are not always available or are overloaded by work. Moreover, the …

Breast cancer is one of the most common malignant tumors in women, and accurate
classification of benign and malignant breast cancer histopathology images is critical for …