… for cancer classification using machine learning methods. Both conventional and deep
learning-based approaches are reviewed, with an emphasis on the application of deep learning …

… a number of machine learning classification techniques have been used to classify tissue …
of only a few hundred samples for a given tumor, this application requires a number of specific …

… learning methods ie, machine learning (ML) and deep learning (DL) for automatic tissue
characterization and tumor … -the-art of brain tumor classification methods, current achievements, …

… in ML and deep learning (DL) for cancer classification, which … The development of cancer
classification methods based on … many methods have been applied to the cancer classification …

… deep learning models is to penalize confident output distributions. Motivated by these
remarks, this paper proposes a breast cancer classification … data augmentation techniques to …

… , breast cancer, etc. Here, we intend to classify a breast cancer using machine learning
techniques. Breast cancer is one of the very fast-spreading diseases in women. A large number …

… in deep learning-based feature selection techniques for gene … an extensive review of Deep
Learning architectures that have … deep learning system categorizes five types of cancer: colon …

… breast cancer image classification using DL methods. … methods to evaluate the performance
of current classification … proposed DL techniques to determine the best method for …

… ] utilized a deep learning approach to classify breast cancer images, convolution neural network
… Two approaches are used to classify breast cancer tumors, traditional machine learning …

… In this paper, a deep learning approach has been employed … for cervix type and cervical
cancer classification. A total of 4005 … deep learning models for the cervix type classification. For …