Giter Club home page Giter Club logo

msifromhe's People

Contributors

jnkather avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

msifromhe's Issues

undefined function 'getTrainingOptions'

I tried to reproduce your work , but I couldn't find the function getTrainingOptions in the step_01, not mentioned in the tool boxes and also the matlab documentation.

I am new to the matlab deep learning area.
Could you tell me how to find the function or how to define it?

run log (Matlab r2018a update 6):

Warning: Directory already exists. 
> In step_01_train_tumor_normal_classifier_final_crossval (line 22) 
*******
STARTING CROSSVAL 1
sucessfully loaded&modified network
Undefined function or variable 'getTrainingOptions'.

Error in step_01_train_tumor_normal_classifier_final_crossval (line 76)
opts = getTrainingOptions(hyperparam,[]);

Undefined function moveImagesToFolder

I am trying to reproduce the results and I found following function "moveImagesToFolder" in step_05_split_train_test.m is not provided .

moveImagesToFolder(cliniPatient,msitrain,cnst.tileInputPath,cnst.tileOutputPath,'msitrain');
moveImagesToFolder(cliniPatient,muttrain,cnst.tileInputPath,cnst.tileOutputPath,'muttrain');
moveImagesToFolder(cliniPatient,msstrain,cnst.tileInputPath,cnst.tileOutputPath,'msstrain');

moveImagesToFolder(cliniPatient,msitest,cnst.tileInputPath,cnst.tileOutputPath,'msitest');
moveImagesToFolder(cliniPatient,muttest,cnst.tileInputPath,cnst.tileOutputPath,'muttest');
moveImagesToFolder(cliniPatient,msstest,cnst.tileInputPath,cnst.tileOutputPath,'msstest');

Where can I find it? Thank you.

Undefined function Info2MPPrescue()

I am trying to reproduce the results and I found following function is not provided in the subroutine.

currMPP = Info2MPPrescue(currImInfo,ni(end),... % extract MPP; if fail try to rescue
cnst.rescueFolder,strrep(strrep(currImName,'.svs',''),'.tiff',''));

Though I can use Info2MPP() which I found in the subroutine, but I think it does not help on many WSIs from the TCGA-COAD (colon).

info on meta data

Hi kanther, could you let me know more about clinical data as there are may attributes that need more clarity.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.