Breast cancer is the second most common cancer in women who are mainly middle-aged
and older. The American Cancer Society reported that the average risk of developing breast …

Abstract Background and Objective: Globally, breast cancer is one of the most common
diseases among women. As a result of the disadvantages of manual analysis, computer …

Early detection and timely breast cancer treatment improve survival rates and patients'
quality of life. Hence, many computer-assisted techniques based on artificial intelligence are …

This paper proposes an approach to enhance the differentiation task between benign and
malignant Breast Tumors (BT) using histopathology images from the BreakHis dataset. The …

In histopathological image analysis, the feature extraction task for classification proves to be
demanding. This difficulty arises from the assortment of histological features appropriate for …

The texture analysis of cancer cells leads to a procedure to distinguish spatial differences
within an image and extract essential information. This study used two test tumours images …

Pathologic diagnosis is the" gold standard" for diagnosing breast cancer and is increasingly
used to assess the response to Neoadjuvant Chemotherapy (NACT). Despite its high …

In recent years, deep convolutional neural networks (CNNs) have been spectacularly
successful in the classification and diagnosis of breast cancer and its histopathological …

Oral cancer has recently become a prevalent disease worldwide, with the highest reported
cases in South Asian region. Due to the heterogeneous features of oral tongue cancers …