… 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 …

… frontier problems in skin cancer classification are still scarce. … deep learning-based algorithms
for skin cancer classification… neural networks for skin cancer classification. As a highlight of …

… 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 …

… 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 …

… 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 …

… 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 …