… is achieved using machine learning techniques. In this paper, we present the most recent
breast cancer detection and classification models that are machine learning based models by …

… the research to multiclass classification with better performance ratios. We have developed
deep learning-based ensemble classification models for multiclass skin cancer classification. …

… CNN classification architecture for discriminating between primary and metastatic liver cancer…
, primary and secondary liver cancer classification. In addition, it is the first 3D tomographic …

… Sparse Representation-based Classification (mSRC) method for lung cancer diagnosis [14]. …
for lung cancer classification. Their method reached an 88.10% classification accuracy on …

… deep learning method for hyper-spectral data classification. This chapter used DNN to learn
deep … The DNN with multiple layers of processing is applied to classify the breast cancer data…

… of breast cancer image classification publications. The clear … in the deep learning on breast
cancer image classification … and citations on deep learning approaches published from the …

… Recent studies have shown that deep learning is capable of … However, many studies in
skin cancer classification utilize non-… , deep learning methods for skin cancer classification are …

… The detection and classification of breast cancer in the early stages of its development may
… a novel deep learning framework for the detection and classification of breast cancer in …

… the best deep learning model and architecture that optimally classifies brain cancer. However,
… This paper proposes an enhanced deep learning model for brain tumor classification from …

… The non-linear classification task converted to linear classification problem in high-… has
shifted to deep learning. Deep learning is a set of algorithms in machine learning that attempts to …