It is important to detect breast cancer as early as possible. In this manuscript, a new
methodology for classifying breast cancer using deep learning and some segmentation …

Background Deep learning (DL) is the fastest-growing field of machine learning (ML). Deep
convolutional neural networks (DCNN) are currently the main tool used for image analysis …

The improvement of system accuracy is a key issue in the detection and classification of
tumors in digital mammographic images. This affects how radiologists make accurate …

Breast cancer is one of the major health issues across the world. In this study, a new
computer-aided detection (CAD) system is introduced. First, the mammogram images were …

Abstract Background and Objective There are many work related with segmentation
techniques, including nearest neighbor algorithm, fuzzy rules, morphological filters, image …

One of the fast-growing disease affecting women's health seriously is breast cancer. It is
highly essential to identify and detect breast cancer in the earlier stage. This paper used a …

The goal of the dairy industry is ultimately to increase lactation persistency, which is the
length of time during which peak milk yield is sustained. Lactation persistency is determined …

Breast cancer is one of the most common kinds of cancer, as well as the leading cause of
decease among women. Early detection and diagnosis of breast cancer increases the …

Breast cancer is a dangerous disease and considered the second cause of death for women
globally. Reading breast cancer images requires experienced radiologists. Radiologists …

Deep learning of multilayered computational models allowed processing to recognize the
representation of data at multiple levels of abstraction. These technologies have significantly …