Multi-Level Seg-Unet Model with Global and Patch-Based X-ray Images for Knee Bone Tumor Detection.

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第一作者： Nhu-Tai,Do

第一单位： Department of Artificial Intelligence Convergence, Chonnam National University, 77 Yongbong-ro, Gwangju 500-757, Korea.

作者： Nhu-Tai,Do ^[1] ; Sung-Taek,Jung ^[2] ; Hyung-Jeong,Yang ^[1] ; Soo-Hyung,Kim ^[1]

作者单位： Department of Artificial Intelligence Convergence, Chonnam National University, 77 Yongbong-ro, Gwangju 500-757, Korea. ^[1] Department of Orthopedic, Chonnam National University Medical School, 160 Baekseo-ro, Gwangju 61469, Korea. ^[2]

关键词 cancer classification deep learning detection knee bone segmentation segnet tumor u-net

DOI 10.3390/diagnostics11040691

PMID 33924426

发布时间 2021-05-02

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Diagnostics (Basel, Switzerland)

2021年11卷4期

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Multi-Level Seg-Unet Model with Global and Patch-Based X-ray Images for Knee Bone Tumor Detection.

Diagnostics (Basel, Switzerland)

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Multi-Level Seg-Unet Model with Global and Patch-Based X-ray Images for Knee Bone Tumor Detection.

Diagnostics (Basel, Switzerland)

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Diagnostics (Basel, Switzerland)

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