… assisted system for segmentation & classification of various cancers during past decade. …
types of cancer detection via different data modalities using machine learning & deep learning-…

… It will use deep neural network (ANN) systems for precise tumor images with high resolution
… Digitalizing the medical pathology holds a great affirmation for advanced cancer diagnostics …

… and accelerate cancer diagnostics and … for breast cancer is, therefore, vital to its effective
and individualized clinical care. The support vector machine (SVM) is a rising machine learning …

… Many traditional ML methods are available in the scikit-learn package, while deep learning
models can be built using packages such as PyTorch and TensorFlow. Because ML models …

… advanced CAD models in medical image analysis. Over the past decade, machine learning
and deep learning … classifiers of machine learning and deep learning approaches for breast …

… We focus on the deep learning applications for omics data … of how deep learning may
be applied in cancer diagnosis, … for the application of deep learning in precision oncology, …

… techniques for breast, brain, lung, liver, skin cancer leukemia. The … cancer diagnosis, cure
process is assisted using machine learning with supervised, unsupervised and deep learning …

… technology or artificial intelligence (AI) in general, the pitfalls and lessons learned from CAD
… and the deep learning technology will lead to successful advancement and lasting growth in …

… This paper provides a focused review on the recent advances in AI and deep learning in …
prominent application of deep learning has been its use in the detection of abnormalities or …

… A lot of recent reviews and research are focusing on the deep learning applications
applied in cancer diagnosis and prognosis and used genomics dataset [54,55,56,57,58,59,60]. …