Data-Driven Deep Supervision for Skin Lesion Classification

Author:

Mishra Suraj,Zhang Yizhe,Zhang Li,Zhang Tianyu,Hu X. Sharon,Chen Danny Z.

Publisher

Springer Nature Switzerland

Reference32 articles.

1. Codella, N.C.F., et al.: Skin lesion analysis toward melanoma detection: a challenge at the 2017 international symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC). In: ISBI 2018, pp. 168–172 (2018). https://doi.org/10.1109/ISBI.2018.8363547

2. Codella, N.C.F., et al.: Skin lesion analysis toward melanoma detection 2018: a challenge hosted by the international skin imaging collaboration (ISIC). CoRR abs/1902.03368 (2019). http://arxiv.org/abs/1902.03368

3. Galdran, A., et al.: Data-driven color augmentation techniques for deep skin image analysis. CoRR abs/1703.03702 (2017). http://arxiv.org/abs/1703.03702

4. González-Díaz, I.: Incorporating the knowledge of dermatologists to convolutional neural networks for the diagnosis of skin lesions. CoRR abs/1703.01976 (2017). http://arxiv.org/abs/1703.01976

5. Goyal, M., Rajapakse, J.C.: Deep neural network ensemble by data augmentation and bagging for skin lesion classification. CoRR abs/1807.05496 (2018). http://arxiv.org/abs/1807.05496

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. Boosting Medical Image Classification with Segmentation Foundation Model;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Multi-modal Contrastive-Generative Pre-training for Fine-grained Skin Disease Diagnosis;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

3. MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models;Medical Image Analysis;2023-12

4. Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion Classification;Lecture Notes in Computer Science;2023

5. Multi-input Vision Transformer with Similarity Matching;Predictive Intelligence in Medicine;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3