… brain cancer, imaging modalities of brain cancer and automatic computer assisted methods
for brain cancer characterization in a machine and deep learning … brain cancer classification …

… types, including breast cancer, by using traditional machine learning approaches … cancer
classification by using medical imaging multimodalities through state-of-the-art artificial deep …

… predictive biomarkers: 14 studies on colorectal or rectal cancer, three studies on gastric
cancer and none on esophageal cancer. These studies were categorised according to their end-…

… way of regularizing deep learning models is to penalize confident output distributions.
Motivated by these remarks, this paper proposes a breast cancer classification framework based …

… advances in radiomics and deep learning to develop models … Cancer Survival (BLCS)
cohort, we created deep learning … the potential for deep learning based radiomics to enhance …

… related to cancer types through the heat map and associate them with biomarkers. Our
CNN for the classification task fosters the deep learning framework in the cancer genome …

… This dataset is used to train the feature extraction and cancer classification modules in our
proposed deep learning pipelines. Throughout this project life cycle, cervigram images and …

… for breast cancer classification from ultrasound images that employs deep learning and the
fusion … deep learning-based method for breast cancer classification from ultrasound images. …

… rarely in breast cancer classification. In this study, application of deep learning has been
exploit using the DBN model for the classification of breast cancer using histopathology images. …

… In this study, we developed a classification system by deep learning for brown to black … in
six-class classification. The skin tumor classification system using deep learning showed better …