… The effectiveness of regression and classification models is … work in using deep learning for
breast cancer classification in … -trained CNNs to classify breast mammograms are submitted …

… of prostate cancer discrimination. Aiming to assist doctors’ diagnosis, this paper starts …
deep learning algorithm, and then build a deep learning classification model for prostate cancer …

… With the advent of deep learning concepts [5], we can classify skin cancer detection in seven
diagnostic categories, namely melanocytic nevi, melanoma, benign keratosis-like lesions, …

… regions of the WSIs and trains a classification model to discriminate between the positive …
four well-known deep learning network architectures for this classification task: GoogLeNet […

… a deep learning method in image classification for the detection of colorectal cancer with
ResNet architecture. The exceptional performance of a deep learning classification incites …

… Here, we demonstrate how the field can further benefit from deep learning by presenting a
strategy based on convolutional neural networks (CNNs) that not only outperforms methods in …

… (AI) to automate cancer detection might allow us to … deep learning models are proposed
to classify the images of eight kinds of cancer, such as lung, brain, breast, and cervical cancer. …

… a systematic study of deep learning and its application for the classification of pathological …
transfer learning of deep learning architecture for the classification of colorectal cancer tissue, …

… The survey comprises the usage of deep learning for object detection, classification, …
cancer types have also been introduced. This article discusses the Vision-Based Deep Learning …

… with early detection of the cancer so that appropriate intervention … classification algorithm
by fusing a number of deep learning approaches has been proposed to detect prostate cancer …