
...
learning elegantly guides classification (bottom-top path) to learn better. In this study, our networks learn to 
classify early-stage lung cancer from **CT** scans on **pathological** level. The deep learning models outperforms the 
radiologists (2 senior and 2 junior) in our observer study, which indicates the potentials to facilitate
precision medicine.



More details, please refer to our paper:

**3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas**

Wei Zhao<sup>†</sup>, Jiancheng Yang<sup>†</sup>, Yingli Sun, Cheng Li, Weilan Wu, Liang Jin, Zhiming Yang, Bingbing Ni, Pan Gao, Peijun Wang, Yanqing Hua and Ming Li (<sup>†</sup>indicates equal contribution)

	a/README.md		b/README.md
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4	learning elegantly guides classification (bottom-top path) to learn better. In this study, our networks learn to	4	learning elegantly guides classification (bottom-top path) to learn better. In this study, our networks learn to
5	classify early-stage lung cancer from CT scans on pathological level. The deep learning models outperforms the	5	classify early-stage lung cancer from CT scans on pathological level. The deep learning models outperforms the
6	radiologists (2 senior and 2 junior) in our observer study, which indicates the potentials to facilitate	6	radiologists (2 senior and 2 junior) in our observer study, which indicates the potentials to facilitate
7	precision medicine.	7	precision medicine.
8		8
9	![Graphical Abstract](GraphicalAbstract.png)
10
11	More details, please refer to our paper:	9	More details, please refer to our paper:
12		10
13	3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas	11	3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas
14		12
15	Wei Zhao<sup>†</sup>, Jiancheng Yang<sup>†</sup>, Yingli Sun, Cheng Li, Weilan Wu, Liang Jin, Zhiming Yang, Bingbing Ni, Pan Gao, Peijun Wang, Yanqing Hua and Ming Li (<sup>†</sup>indicates equal contribution)	13	Wei Zhao<sup>†</sup>, Jiancheng Yang<sup>†</sup>, Yingli Sun, Cheng Li, Weilan Wu, Liang Jin, Zhiming Yang, Bingbing Ni, Pan Gao, Peijun Wang, Yanqing Hua and Ming Li (<sup>†</sup>indicates equal contribution)