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Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

机译：深度学习优于157名皮肤病学家中的136人，在头部到头Dermoscopic黑色素瘤图像分类任务

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1. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task [J] . Brinker Titus J., Hekler Achim, Enk Alexander H., European journal of cancer: official journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR) . 2019,第期

机译：深入学习表现出136名157名皮肤病学家中的136人，在头部到头Dermoscopic黑色素瘤图像分类任务
2. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task [J] . Brinker Titus J., Hekler Achim, Enk Alexander H., European journal of cancer: official journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR) . 2019,第期

机译：用Dermoscopic图像训练的卷积神经网络，在临床黑色素瘤图像分类任务中对145名皮肤科医生进行了训练
3. Reply to the letter to the editor: 'Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images' [J] . European journal of cancer: official journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR) . 2020,第期

机译：回复编辑的信：“深入学习优于组织病理学黑色素瘤图像的分类中的11个病理学家”
4. Deep Neural Network for Melanoma Classification in Dermoscopic Images [C] . Wang jiahao, JIN Xingguang, Wenjie Yuan, IEEE International Conference on Consumer Electronics and Computer Engineering . 2021

机译：大皮肤瘤中的深层神经网络在Dermoscopic图像中的分类
5. Enhancement of dermoscopic images and feature extraction for classification of skin lesions. [D] . Al-Abayechi, Alaa Ahmed Abbas. 2015

机译：增强皮肤镜图像和特征提取以对皮肤病变进行分类。
6. Deep learning-based computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population [O] . Shi-Qi Wang, Xin-Yuan Zhang, Jie Liu, 2020

机译：基于深度学习的计算机辅助分类器具有Dermoscopic图像的皮肤病诊断中的34位皮肤病学诊断的可比性表现出可比性。
7. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task [O] . Titus J. Brinker, Achim Hekler, Alexander H. Enk, 2019

机译：用Dermoscopic图像训练的卷积神经网络，在临床黑色素瘤图像分类任务中对145名皮肤科医生进行了训练

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task

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