Employing U-NET and RBCNN to Build an Automatic Lung Cancer Segmentation and Classification System

Dhivya, P and Yamini, P (2024) Employing U-NET and RBCNN to Build an Automatic Lung Cancer Segmentation and Classification System. Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India.

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Abstract

The most common cancer-related cause of death globally is lung cancer. The
key to effective lung cancer treatment and higher survival rates is early diagnosis.
Converting a radiologist's diagnosing procedure to computer assisted results in more
accurate results and an earlier diagnosis. The difficul

Item Type: Article
Date Deposited: 04 Mar 2026 17:08
Last Modified: 11 Apr 2026 04:26
URI: http://eprints.eai.eu/id/eprint/46989

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