Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

Breast cancer is the most common malignant disease in women worldwide. In recent
decades, earlier diagnosis and better adjuvant therapy have substantially improved patient …

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 …

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) constitutes a public
health emergency globally. The number of infected people and deaths are proliferating …

Canine mammary tumors (CMTs) have high incidences and mortality rates in dogs. They are
also considered excellent models for human breast cancer studies. Diagnoses of both …

Background Breast cancer is a major public health concern, and early diagnosis and
classification are critical for effective treatment. Machine learning and deep learning …

In this study, we proposed a novel convolutional neural network (CNN) architecture for
classification of benign and malignant breast cancer (BC) in histological images. To improve …

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

Breast cancer affects one out of eight females worldwide. It is diagnosed by detecting the
malignancy of the cells of breast tissue. Modern medical image processing techniques work …

Breast cancer is the most common cancer type diagnosed in women worldwide. While
breast cancer can occur in both men and women, it is by far more prevalent in women …