… 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 cancerclassification we can use samples from breast cancer, lung cancer, and many other cancers which are …
M Nawaz, AA Sewissy, THA Soliman - Int. J. Adv. Comput. Sci. Appl, 2018 - academia.edu
… diagnosis of breast cancer. In this paper, we present a deeplearning approach based on a Convolutional Neural Network (CNN) model for multi-class breast cancerclassification. The …
KM Hosny, MA Kassem… - 2018 9th Cairo …, 2018 - ieeexplore.ieee.org
… classification method is proposed. In this method, a pre-trained deeplearning network and transfer learning are … In addition to fine-tuning and data augmentation, the transfer learning is …
S Kuntz, E Krieghoff-Henning, JN Kather, T Jutzi… - … Journal of Cancer, 2021 - Elsevier
… 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-…
Z Alyafeai, L Ghouti - Expert Systems with Applications, 2020 - Elsevier
… This dataset is used to train the feature extraction and cancerclassification modules in our proposed deeplearning pipelines. Throughout this project life cycle, cervigram images and …
M Liu, L Hu, Y Tang, C Wang, Y He… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
… way of regularizing deeplearning models is to penalize confident output distributions. Motivated by these remarks, this paper proposes a breast cancerclassification framework based …
… related to cancer types through the heat map and associate them with biomarkers. Our CNN for the classification task fosters the deeplearning framework in the cancer genome …
… overview of the use of deeplearning methods in skin cancerclassification. We begin by … in skin cancerclassification, then review the frontier challenges in skin cancerclassification and …