Dermatologist-levelclassification of skin cancer with deepneural networks论文笔记

时间 2021-07-12

标签 Nature 皮肤病分类繁體版

原文原文链接

Dermatologist-levelclassification of skin cancer with deepneural networks 摘要：皮肤癌是人类最常见的恶性肿瘤，目前主要是通过视觉诊断的。一般首先是临床筛查，之后可能需要皮肤镜分析、活检和组织病理学检查。使用图像的皮肤病变自动分类是一个具有挑战性的任务，因为皮肤病变的外观是一种细粒度的变化。深度卷积神经网络（CNN）在多种细粒

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1. 【医学影像】《Dermatologist-level classification of skin cancer with deep neural networks》论文笔记...
2. 论文笔记《Adversarial Networks for Prostate Cancer Detection》
3. 论文笔记（四）《Adversarial Networks for the Detection of Aggressive Prostate Cancer》
4. 论文-阅读理解笔记Adversary Resistant DeepNeural Networks
5. Bag of Tricks for Image Classification with Convolutional Neural Networks论文笔记
6. 06论文笔记《Reducing the Dimensionality of Data with Neural Networks》
7. 论文笔记之Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
8. 论文笔记：SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
9. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》论文阅读笔记
10. Improved Regularization of Convolutional Neural Networks with Cutout论文笔记

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