Application of multimodal fusion technology in early recurrence prediction and pathological analysis of hepatocellular carcinoma

doi:10.4251/wjgo.v17.i12.114037

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

World J Gastrointest Oncol. Dec 15, 2025; 17(12): 114037
Published online Dec 15, 2025. doi: 10.4251/wjgo.v17.i12.114037

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Figure 2 Tumor segmentation of a typical case. A: The original computed tomography arterial phase image; B: The tumor segmentation using ITK-SNAP software; C: Pseudo-color image of tumor habitat characteristics.

Citation: Huang LH, Fang YJ, Zheng XJ, Huang C, Li CL, Yu B, Huang MJ, Qin SJ, Huang DY, Lu DW. Application of multimodal fusion technology in early recurrence prediction and pathological analysis of hepatocellular carcinoma. World J Gastrointest Oncol 2025; 17(12): 114037
URL: https://www.wjgnet.com/1948-5204/full/v17/i12/114037.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i12.114037

Huang LH, Fang YJ, Zheng XJ, Huang C, Li CL, Yu B, Huang MJ, Qin SJ, Huang DY, Lu DW. Application of multimodal fusion technology in early recurrence prediction and pathological analysis of hepatocellular carcinoma. World J Gastrointest Oncol 2025; 17(12): 114037 [PMID: 41480210 DOI: 10.4251/wjgo.v17.i12.114037]

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