… Unsupervised learning is used as the foundation for the K-means method. The … on
classification issues. The main goal of this study is to categorise skin lesions using deep 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 …

… to classify the lung cancer and its severity. To detect the location of the cancerous lung nodules,
this work uses novel Deep learning … features are classified using Deep learning. A novel …

… cancer diagnosis growth in recent years. This paper reviewed studies on the capability of DL
to classify histopathological breast cancer … on the classification of histopathological images. …

… In this analysis, the classification of malignant and benign cancer was performed using the
stacking CV model implemented using a deep learning approach. The experiment was tested …

… We propose a deep learning framework for cancer diagnosis by developing a multi-tissue
cancer … genetic alterations driving cancer progression by learning genomic signatures across …

… the difficulty to classify individual patient samples. Here, we describe a novel … cancer
classification framework, deep cancer subtype classification (DeepCC), based on deep learning of …

… Eight DL approaches have been implemented in the present study for cancer classification
from gene expression data. In this study, we use RNA-Seq data of five tumors. The numeric …

… learning and deep learning models for the classification of skin tumors. Machine learning
(ML… classifier and Gaussian naive Bayes, while deep learning (DL) models employed are either …

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