From 5c0e4eed56294189ba7db7f479c8f8a48cba928e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dar=C3=ADo=20Here=C3=B1=C3=BA?= Date: Fri, 27 Dec 2019 09:26:20 -0300 Subject: [PATCH] Minor formatting proposals --- README.md | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index bb59230..7f231b2 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # ImageSegmentation With Vnet3D -> This is an example of the prostate in transversal T2-weighted MR images Segment from MICCAI Grand Challenge:Prostate MR Image Segmentation 2012 +> This is an example of the prostate in transversal T2-weighted MR images Segment from MICCAI Grand Challenge: Prostate MR Image Segmentation 2012 ![](promise12_header.png) ## Prerequisities @@ -12,24 +12,24 @@ The following dependencies are needed: - scikit-learn >= 0.17.1 ## How to Use -(re)implemented the model with tensorflow in the paper of "Milletari, F., Navab, N., & Ahmadi, S. A. (2016) V-net: Fully convolutional neural networks for volumetric medical image segmentation.3DV 2016" +(re)implemented the model with tensorflow in the paper of "Milletari, F., Navab, N., & Ahmadi, S. A. (2016) V-net: Fully convolutional neural networks for volumetric medical image segmentation. 3DV 2016" -**1、download trained data,download dataset：https://promise12.grand-challenge.org/download/ ,if you can't download it,i have shared it:https://pan.baidu.com/s/1y9YAAQKdD3OMOMyamx9MdA, password:whbf** +**1. download trained data, download dataset：https://promise12.grand-challenge.org/download/, if you can't download it, I have shared it: https://pan.baidu.com/s/1y9YAAQKdD3OMOMyamx9MdA, password: whbf** -**2、the file of promise12Vnet3dImage.csv,is like this format: +**2. the file of promise12Vnet3dImage.csv, is like this format: D:\Data\PROMISE2012\Vnet3d_data\Vnet3d_patch_train\image/0_10 D:\Data\PROMISE2012\Vnet3d_data\Vnet3d_patch_train\image/0_11 D:\Data\PROMISE2012\Vnet3d_data\Vnet3d_patch_train\image/0_12 ...... -if you trained data path is not D:\Data\PROMISE2012\,you should change the csv file path just like this:using C:\Data\ replace D:\Data\PROMISE2012\.** +if you trained data path is not D:\Data\PROMISE2012\, you should change the csv file path just like this: using C:\Data\ replace D:\Data\PROMISE2012\.** -**3、when data is prepared,just run the vnet3d_train_predict.py** +**3. when data is prepared, just run the vnet3d_train_predict.py** -**4、training the model on the GTX1080,it take 40 hours,and i also attach the trained model in the project,you also just use the vnet3d_train_predict.py file to predict,and get the segmentation result.** +**4. training the model on the GTX1080, it take 40 hours, and i also attach the trained model in the project, you also just use the vnet3d_train_predict.py file to predict, and get the segmentation result.** -**5、download trained model:https://pan.baidu.com/s/1B869czIPfIL8wxDKgIednQ, password:0nb6** +**5. download trained model: https://pan.baidu.com/s/1B869czIPfIL8wxDKgIednQ, password: 0nb6** -**6、download test data: https://pan.baidu.com/s/1pDCQzTxUmyYdwDinBJKTuA, password:s0jt** +**6. download test data: https://pan.baidu.com/s/1pDCQzTxUmyYdwDinBJKTuA, password: s0jt** ## Result MICCAI Grand Challenge Result @@ -51,6 +51,7 @@ the trained process:0 epoch——GTMask and PredictMask the predict result ![](mask_15_epoch.png) ![](src_15_epoch.png) + ## Contact * https://github.com/junqiangchen * email: 1207173174@qq.com