… skin cancer. For this reason, the number of studies on skin cancer classification with deep
learning … comparison of deep learning models for skin cancer classification was made. Table III …

… filter is introduced in after cancer nodule detection, ed its classification as normal or … We
will ata augmentation is an important in deep learning and in certain illions of images, so this …

… malignant lesion classification deep learning model and … classify images but also develop
a deeper understanding of what specifically in the image contributes to correct classification. …

… In MIL for slide-level cancer classification, if patches with the … slide should be classified as
cancer; otherwise, when patches … directly applied to WSI classification and outperforms the MIL …

… Inspired by the successful applications of deep learning models in genomics … deep learning
models to study the tumor raw sequences, namely Deep learning for disease Classification …

… Many methods have been used to classify breast cancer. One of the … is deep learning-based
methods. The most important reason for choosing the deep learning model for breast cancer …

… , optimized hyperparameters, and ensemble learning techniques to improve classification
… However, for cancer classification, we utilized only the cell images during the training phase…

… In order to curb this challenge, an automated supervised technique using deep learning …
-grade cancer classification via 31 layers deep CNN. The proposed model results classification …

… In this study, we developed a deep learning-based assistant to help pathologists
differentiate between two subtypes of primary liver cancer, hepatocellular carcinoma and …

… the gene data after CGF and ISR for cancer classification. With the capacity of high-… deep
features from the complexly correlated gene data, and significantly improve the classification …