An artificial neural network (ANN) is a tool that can be utilized to recognize cancer
effectively. Nowadays, the risk of cancer is increasing dramatically all over the world …

Purpose Cancer is one of the most insidious diseases that the most important factor in
overcoming the cancer is early diagnosis and detection. The histo-pathological images are …

Cancer is a deadly disease that occurs due to rapid and uncontrolled cell growth. In this
article, a machine learning (ML) algorithm is proposed to diagnose different cancer diseases …

Purpose Diagnosis of breast tumors using histopathological imaging is considered a difficult
task. Oncologists may have different opinions on how to use this imaging technique to …

Breast cancer (BC) has been one of the significant causes of death worldwide, and its early
detection can play a vital role in increasing the survival rate of this disease. This paper …

Abstract Background and Objective: Many developed and non-developed countries
worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in …

Nowadays experienced radiologists can perform successful detection of malignant tumors
by examining the histological images or patients' data. However, experts may have different …

The machine learning techniques can be used for clinical investigations in breast cancer
diagnosis. The researchers investigated various machine learning algorithms, such as …

Breast cancer is commonest type of cancers among women. Early diagnosis plays a
significant role in reducing the fatality rate. The main objective of this study is to propose an …

Many women around the world die due to breast cancer. If breast cancer is treated in the
early phase, mortality rates may significantly be reduced. Quite a number of approaches …