A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds-Reference-Cited by-同舟云学术

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A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)
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Author:

Silva Wellington S.,Jasbick Daniel L.,Wilson Rodrigo E.,Azevedo-Marques Paulo M.,Traina Agma J. M.,Santos Lucio F. D.,Jorge Ana E. S.,de Oliveira Daniel,Bedo Marcos V. N.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8777225/8787389/08787493.pdf?arnumber=8787493

Cited by 5 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. User Authentication using Behavioural Biometrics with Machine Learning;2022 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2022-12-18

2. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine;Computers in Biology and Medicine;2021-07

3. User recognition based on periocular biometrics and touch dynamics;Pattern Recognition Letters;2021-05

4. Segmenting skin ulcers and measuring the wound area using deep convolutional networks;Computer Methods and Programs in Biomedicine;2020-07

5. Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine;2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS);2020-07

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