… have been proposed for analysis of breast cancer histopathology images. This research …
imaging (WSI) scanners, which can perform cost-effective and high-throughput histopathology …

… used a breast cancer histopathological images dataset (BreaKHis… breast cancer
histopathological images have huge limitations. Eight classes histopathological images of breast …

… In this paper, we introduce a dataset of 7909 breast cancer histopathology images acquired
… br/vri/breast-cancer-database. The dataset includes both benign and malignant images. The …

… deep learning and the challenges in histopathological image analysis of breast cancer, this
paper analyzes histopathological images of breast cancer using deep learning techniques. …

… This article reviews different techniques used for histopathology image analysis with a focus
on breast cancer detection and classification. This review aims at complementing the effort …

… cancer types in the woman and automatically classifying breast cancer histopathological
images is … Statistics indicate that the breast cancer rate is about 12% in all cancer cases in the …

… It explores the image processing approaches, deep … cancer from H&E stained histopathology
images. Figures 1 and 2 shows the various methods and modality of breast cancer images. …

… In this study, a Pa-DBN-BC model is proposed for the classification of breast cancer on the
histopathology images. The Pa-DBN-BC model comprises four main phases which are the …

… -accuracy image recognition … of cancer, can be done much faster. Given these standpoints,
the main focus of this work lies in evaluating DeCAF features for BC histopathological image …

… In this work, the new model for histopathology image classification has taken global
features from the image. The main contributions to this work are summarized in the following: …