… Pathological studies are getting more prominence in detection of various types of cancers. …
image processing techniques on histopathological images for the detection of breast cancer …

… Mitosis detection in breast cancer histology images with deep neural networks. In Lecture
Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lec…

… diagnosis of breast cancer is extremely important. In the biomedical field, the examination and
diagnosis of the breast cancer histopathological images by … The diagnosis process can be …

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

… on mitosis detection in breast cancer histopathology images. … on mitosis detection in breast
cancer histopathology images. … of mitosis detection in breast cancer histopathology images. …

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

… suffers from breast cancer or not. We make use of publicly available Breast Histopathology
Images … In this dataset, images are delineated to extract the exact regions of IDC. This dataset …

… The boundaries and edges of cells in breast cancer histopathology pictures are critical for …
maintains the edges of cells in psychological pictures of breast cancer, which is very important. …

… of the learned representations for breast cancer diagnosis. … We used 240 digital breast
histopathology images that were … associated with the Breast Cancer Surveillance Consortium by …

… N×N is initial grid size of super pixel and σ is standard deviation of peak and is experimentally
set as 10 for breast histology images. For texture mapping of the breast histology images …