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Machine Learning in Cancer Imaging Review by Palanivel Kuppusamy is a document available to read on EtoBox.

What is Machine Learning in Cancer Imaging Review about?

This paper reviews the applications of machine learning (ML) in cancer imaging, focusing on diagnostic methods for six major cancer types: lung, breast, brain, cervical, colorectal, and liver cancers. It highlights the effectiveness of various medical imaging techniques and ML methods in enhancing diagnostic accuracy, while also addressing challenges in clinical integration. The study emphasizes the potential of ML to improve early detection and patient outcomes, and discusses future directions for research

Author

Palanivel Kuppusamy

Language

EN