Study of Chronic Wound Image Segmentation: Impact of Tissue Type and Color Data Augmentation-Reference-Cited by-同舟云学术

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Study of Chronic Wound Image Segmentation: Impact of Tissue Type and Color Data Augmentation

Published:2018-07 Issue: Volume: Page:
ISSN:
Container-title:2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)
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Author:

Pholberdee Nanthipath,Pathompatai Chanok,Taeprasartsit Pinyo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8449403/8457172/08457392.pdf?arnumber=8457392

Cited by 6 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. Failure Detection on 3D Printing Images with Color-based Data Augmentation;2024 International Conference on Smart Computing, IoT and Machine Learning (SIML);2024-06-06

2. An Investigation of Transfer Learning Approaches to Overcome Limited Labeled Data in Medical Image Analysis;Applied Sciences;2023-07-27

3. Application of Artificial Intelligence Methodologies to Chronic Wound Care and Management: A Scoping Review;Advances in Wound Care;2023-04-01

4. AI-Assisted Assessment of Wound Tissue with Automatic Color and Measurement Calibration on Images Taken with a Smartphone;Healthcare;2023-01-16

5. Deep transfer learning-based visual classification of pressure injuries stages;Neural Computing and Applications;2022-05-04

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