… in tasks such as speech recognition, signal processing, object recognition, natural language
… using the deep learning approach to classify breast cancer histopathological images from …

… for the classification of breast cancer histopathology images using the … breast cancer
histopathology image classification network (BHCNet). BHCNet includes one plain convolutional …

… research on the breast cancer pathological image classification field, we … breast cancer
pathological image classification using a hybrid convolutional and recurrent deep neural network…

… In particular, I opt for several deep architectures in the context of breast cancer histological
image classification, and demonstrate that the common belief that high level deep features …

… , accuracy and consistency in histopathology evaluations, and can … convolutional neural
networks (CNN) can be an effective tool in classifying breast cancer histopathological images …

… based on deep convolution neural networks for breast cancer histology image classification…
Hematoxylin and eosin stained breast histology microscopy image dataset is provided as a …

… Convolutional Neural Networks (CNNs) are a class of deep … classification of breast cancer
histopathology images. In this … of CNN-based classifiers for breast cancer identification. We …

… Finally, since the network is designed to consider multiple biological scales, the proposed
system can be extended for whole-slide breast histology image classification relevant for …

… many problems in the field of medical image processing. We propose a classification scheme
for breast cancer tissue image classification based on deep convolutional neural networks (…

… of breast cancer histology images classification such … classifying breast cancer histology
images into benign and malignant, as well as their sub-classes. The first approach is based on …