Neural-Network-Prostate-master
所属分类：数值算法/人工智能
开发工具：Python
文件大小：26KB
下载次数：6
上传日期：2017-08-31 15:36:11
上 传 者：
mickey01
说明： 前列腺癌磁共振影像的自动诊断，基于CNN模型
(The automatic diagnosis of prostate cancer, based on CNN model)
文件列表:
enput.py (1178, 2017-05-17)
__MACOSX (0, 2017-08-31)
._enput.py (222, 2017-05-17)
eval.py (872, 2017-05-17)
._eval.py (222, 2017-05-17)
General-Data (0, 2017-05-17)
General-Data\enput.py (1720, 2017-05-17)
General-Data (0, 2017-08-31)
General-Data\._enput.py (222, 2017-05-17)
._General-Data (222, 2017-05-17)
Gleason 4 Non Cribiform (0, 2017-05-17)
Gleason 4 Non Cribiform\enput.py (373, 2017-05-17)
Gleason 4 Non Cribiform (0, 2017-08-31)
Gleason 4 Non Cribiform\._enput.py (222, 2017-05-17)
._Gleason 4 Non Cribiform (222, 2017-05-17)
Input.py (2996, 2017-05-17)
._Input.py (222, 2017-05-17)
LICENSE (35141, 2017-05-17)
._LICENSE (222, 2017-05-17)
main.py (2620, 2017-05-17)
._main.py (222, 2017-05-17)
Process.py (5017, 2017-05-17)
._Process.py (222, 2017-05-17)
retrain.py (2122, 2017-05-17)
._retrain.py (222, 2017-05-17)
# Neural-Network-Prostate
Using Artificial Neural Networks to Diagnose Prostate Cancer Malignancy
The model has been Sucessfully Trained:
There only lies a few bugs in restoring the trained Neural-Net, all of which should be fixed very soon.
Preliminary Results may be posted soon.
Keep Updated!
- Zan Huang
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Trained Model:
The currently trained model can be found here:
By running eval.py, you can open up the pretrained model and evaluate the performance of the model on
custom evaluation data.
You may also modify this file to suit your own needs when using the trained model below.
https://drive.google.com/drive/u/2/folders/0B8tZT537Lm2-MG16OUNndzlIdWs
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