… 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 …

… For example, for the feature learning that forms the basis for prostate cancer classification
we can use samples from breast cancer, lung cancer, and many other cancers which are …

… diagnosis of breast cancer. In this paper, we present a deep learning approach based on
a Convolutional Neural Network (CNN) model for multi-class breast cancer classification. The …

… classification method is proposed. In this method, a pre-trained deep learning network and
transfer learning are … In addition to fine-tuning and data augmentation, the transfer learning is …

… 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-…

… 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 …

… 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 …

… 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 …

… overview of the use of deep learning methods in skin cancer classification. We begin by … in
skin cancer classification, then review the frontier challenges in skin cancer classification and …