皮肤癌的ai诊断ppt课件.pptx

由一篇Nature引发的思考;;生物医学传感领域的新突破;百度有哪些信誉好的足球投注网站引擎都膜拜的第一作者;荣获斯坦福大学AI领域的理学博士并修德克萨斯大学奥斯汀分校电子计算机工程及纯数学双专业;Dermatologist-level classification of skin cancerwith deep neural networks;这种所谓的深度神经网络就是近年来经常提及 但又充满神秘的;;从数学上看;浅析CNNs;浅析CNNs;卷积的处理看起来使得问题复杂了，这是否会增大计算难度，降低效率？;课堂讨论环节显然让课堂效率提高了而它正是卷积过程的体现;CNNs的工作就是将全局映射转化为区域映射的过程。;;Classical diagnosing method;Formation of AI dermatologist ——A process of machine learning;Figure 1 | Deep CNN layout. Formed by Google Inception v3 CNN architecture;Figure 2 | A schematic illustration of the taxonomy and example test set images ;Step 3 Grasp the characteristic message of pictures by analyzing pixels.;Practical diagnose ——Analyzing up-loaded picture from mobile devices;Figure 4 | t-SNE visualization of the last hidden layer representations in the CNN for four disease classes;Real case analysis as support information;; Outfitted with deep neural networks, mobile devices can potentially extend the reach of dermatologists outside of the clinic.  It is projected that 6.3 billion smartphone subscriptions will exist by the year 2021 and can therefore potentially provide low-cost universal access to vital diagnostic care.;——Ericsson Mobility Report, 2016;; Deep learning algorithms, powered by advances in computation and very large datasets, have recently been shown to exceed human performance in visual tasks such as playing Atari games, strategic board games like Go and object recognition.;AI应用于生活的几个例子;2017年5月23日~5月27日 “第二次围棋人机大战” ;论决策和价值评估，人类真的输了！;Demis Hassabis，创业公司DeepMind创始人。;;像AlphaGo一样思考;Karl Popper (1902.7.28~1994.9.17)