ISIC2018_Task1-2_Training_Input.zip

To comply with the attribution requirements of the CC-BY-NC license , the aggregate "ISIC 2018: Training" data must be cited as: HAM10000 Dataset: (c) by ViDIR Group, Department of Dermatology, Medical University of Vienna; https://doi.org/10.1038/sdata.2018.161<br> MSK Dataset: (c) Anonymous; https://arxiv.org/abs/1710.05006; https://arxiv.org/abs/1902.03368 When referencing this dataset in your own manuscripts and publications, please use the following full citations: [1] Noel Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, Harald Kittler, Allan Halpern: "Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)", 2018; https://arxiv.org/abs/1902.03368<br> [2] Tschandl, P., Rosendahl, C. &amp; Kittler, H. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci. Data 5, 180161 doi:10.1038/sdata.2018.161 (2018).

为遵守CC-BY-NC（知识共享署名-非商业性使用）许可的署名要求，聚合后的ISIC 2018：训练数据集必须按如下方式引用：
HAM10000数据集：（版权归维也纳医科大学皮肤科ViDIR团队所有；https://doi.org/10.1038/sdata.2018.161）
MSK数据集：（版权归匿名作者所有；https://arxiv.org/abs/1710.05006；https://arxiv.org/abs/1902.03368）
若您在自主投稿的手稿或学术出版物中引用该数据集，请使用以下完整参考文献：
[1] Noel Codella、Veronica Rotemberg、Philipp Tschandl、M. Emre Celebi、Stephen Dusza、David Gutman、Brian Helba、Aadi Kalloo、Konstantinos Liopyris、Michael Marchetti、Harald Kittler、Allan Halpern：《面向黑色素瘤检测的皮肤病变分析2018：由国际皮肤影像协作组（International Skin Imaging Collaboration，ISIC）主办的挑战赛》，2018；https://arxiv.org/abs/1902.03368
[2] Tschandl, P., Rosendahl, C. & Kittler, H. 《HAM10000数据集：多源常见色素性皮肤病变皮肤镜图像大型集合》. Sci. Data 5, 180161 doi:10.1038/sdata.2018.161 (2018).

搜集汇总

背景与挑战

背景概述

该数据集是ISIC 2018挑战赛的训练输入数据，包含大量多源皮肤镜图像，用于皮肤病变分析和黑色素瘤检测研究。数据集由多个研究机构合作提供，遵循CC-BY-NC许可，需在引用时注明来源。