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Automated Diagnosis of Melanoma from Dermoscopic Images using Convolution Neural Network

机译：利用卷积神经网络自动诊断大黑素瘤的黑色素瘤

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1. Diagnosis of acral lentiginous melanoma using convolutional neural network in dermoscopic Images [J] . Lee J., Oh B. The Journal of investigative dermatology. . 2017,第5期

机译：利用Dermoscopic图像中卷积神经网络诊断前血管血管瘤
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. 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. Characterization of Melanoma Using Convolutional Neural Networks and Dermoscopic Images [C] . Abdelghani Tafsast, Mohamed Laid Hadjili, Ayache Bouakaz, International Conference on Electrical Engineering and Control Applications . 2019

机译：使用卷积神经网络和Dermoscopic图像表征黑素瘤
5. Automated Segmentation and Uncertainty Quantification for Image-Based Cardiovascular Modeling with Convolutional Neural Networks [D] . Maher, Gabriel. 2020

机译：卷积神经网络的图像基础心血管建模的自动分割和不确定量化
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. 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

Automated Diagnosis of Melanoma from Dermoscopic Images using Convolution Neural Network

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