Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers-Reference-Cited by-同舟云学术

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Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Chae Han Joo¹,Lee Seunghwan¹,Son Hyewon¹,Han Seungyeob¹,Lim Taebin¹

Affiliation:

1. ROKIT Healthcare, Inc.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880416.pdf?arnumber=9880416

Reference65 articles.

1. Microsoft coco: Common objects in context;lin;Computer Vision - ECCV 2014,0

2. Cascaded Feature Network for Semantic Segmentation of RGB-D Images

3. A Review of Techniques for 3D Reconstruction of Indoor Environments

4. Incorporating depth into both CNN and CRF for indoor semantic segmentation

5. Squeeze-and-Excitation Networks

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The promising approach of 3D bioprinting for diabetic foot ulcer treatment: A concise review of recent developments;Heliyon;2024-09

2. Smart Wound Measurement: Fusion of Advanced Image Analysis Technique;Studies in Systems, Decision and Control;2024

3. RGB-D Camera-Based Automatic Wound-Measurement System;IEEE Transactions on Instrumentation and Measurement;2023

4. Bioprinted Hydrogels for Fibrosis and Wound Healing: Treatment and Modeling;Gels;2022-12-27

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