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A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task

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

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1. 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
2. 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
3. Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition [J] . Winkler Julia K., Fink Christine, Toberer Ferdinand, JAMA dermatology . 2019,第10期

机译：皮肤病图像外科皮肤标记与深层学习卷积神经网络对黑色素瘤识别的诊断性能
4. Deep Convolutional Neural Network Ensembles For Multi-Classification of Skin Lesions From Dermoscopic and Clinical Images [C] . José Reisinho, Miguel Coimbra, Francesco Renna Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2020

机译：深度卷积神经网络集成，可从皮肤镜和临床图像对皮肤病变进行多分类
5. Combining Convolutional Neural Networks and Graph Neural Networks for Image Classification [D] . Trivedy, Vivek. 2021

机译：结合卷积神经网络和图形神经网络的图像分类
6. Ensemble Method of Convolutional Neural Networks with Directed Acyclic Graph Using Dermoscopic Images: Melanoma Detection Application [O] . Arthur Cartel Foahom Gouabou, Jean-Luc Damoiseaux, Jilliana Monnier, 2021

机译：使用Dermoscopic图像与定向非循环图的卷积神经网络的集合方法：黑色素瘤检测应用
7. Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task [O] . Titus J. Brinker, Achim Hekler, Alexander H. Enk, 2019

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

A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task

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