Libraries at University of Nebraska-Lincoln



The review paper provides the perceptible description of Breast Cancer (BC) and its classification and various classification strategies associated with BC. It discusses the related studies pertaining to the analysis and classification of BC through histopathological images and investigates the crucial advancements in the BC classification procedures. Furthermore, it provides the analysis of breast histopathological images using traditional Artificial Neural Networks (ANNs). The paper discusses the distinct Deep Learning (DL) methods involved in enhancing the performance of BC classification. By discussing all major studies this review assists researchers in better classification and analysis of BC thereby providing a concise perspective of existing issues, solutions and further developments.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.