Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation-Reference-Cited by-同舟云学术

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Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Ribeiro Vinicius,Avila Sandra,Valle Eduardo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142289/9150305/09150581.pdf?arnumber=9150581

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 effect of convolutional neural network architectures on phase segmentation of composite material X-ray micrographs;Journal of Composite Materials;2023-05-31

2. A survey, review, and future trends of skin lesion segmentation and classification;Computers in Biology and Medicine;2023-03

3. Test-Time Selection for Robust Skin Lesion Analysis;Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops;2023

4. Less Is More: Matched Wavelet Pooling-Based Light-Weight CNNs With Application to Image Classification;IEEE Access;2022

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