… In Section 2, we briefly review the application of deep learning and UQ methods in image
classification. An in-depth background of the applied methods is presented in this section, …

… deep learning models applied to skin cancer classification. … the images throughout the
classification pipeline. We compared … that our method improves classification for all tested models …

… In 2012, breast cancer caused 522,000 deaths worldwide along with 1.68 million new cases
… In this work we designed a deep learning based method to classify breast cancer slides. …

… In this paper to classify skin cancer images, we utilized 4 deep convolutional neural networks
pre-trained on ImageNet [46] using TensorFlow [47] which is a deep learning framework …

… in the high layers so that it can boost the classification … -TASK DEEP LEARNING In this
paper, we propose a novel multi-task deep learning (MTDL) algorithm for cancer classification. …

… Up to now, there has been no classification model for classifying these three lung … deep
learning approaches, this paper introduces a multi-classification model based on deep learning …

… : First phase is the CT lung cancer classification processes where the selected features …
deep learning classifier with MGSA optimization algorithm is used to classify the CT lung cancer …

… cancer diagnosis, which includes steps of cancer diagnosis followed by the typical classification
methods used by doctors, providing a historical idea of cancer classification techniques …

… cancer, colon cancer, lymph node cancer, and lung cancer can all be diagnosed using gene
expression analysis. Machine learning … -step system for cancer classification that combines …

… cancer histopathological image classification method based on deep convolutional neural
networks, named as BiCNN model, to address the two-class breast cancer classification on …