A Review of Research on Accurate Segmentation of Multimodal Tumor Images

© 2024 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

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Abstract

Accurate segmentation of tumor images is a key core technology for the diagnosis and treatment of tumor diseases. In this paper, we analyze a variety of novel and targeted algorithms to solve these problems, summarize, and elaborate the method based on multimodal tumor image processing given the characteristics of serious grayscale inhomogeneity, texture instability, and diversity complexity of tumor images.

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