katyaputintseva LungCancer issues

katyaputintseva / LungCancer

Early detection of lung cancer

17 stars 7 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Mentioning Keras, TensorFlow, CUDA, CuDNN versions

#45 yashkarbhari opened 3 years ago
0
reorganizing, visualizations, etc

#44 ggantos closed 7 years ago
0
figs for visualization

#43 ggantos closed 7 years ago
0
figs for visualization

#42 ggantos closed 7 years ago
0
#38 creating/saving dict for plotting

#41 ggantos closed 7 years ago
0
#7 #8 #9 #18 #19 50%/50% nodule/random voxel generator for all patients

#40 ggantos closed 7 years ago
0
#7 #8 #9 #18 #19 50%/50% nodule/random voxel generator

#39 ggantos closed 7 years ago
0
Implement malignant nodule visualizer

#38 katyaputintseva opened 7 years ago
0
Xiaoxia

#37 XiaoxiaLin closed 7 years ago
0
extracting Kaggle voxels withTopk for prediction

#36 XiaoxiaLin closed 7 years ago
1
Try different branching depth

#35 katyaputintseva closed 7 years ago
0
Using predicted nodules, construct CNN regressor for all feature values

#34 katyaputintseva closed 7 years ago
0
Build nodule/non-nodule CNN classifier

#33 katyaputintseva closed 7 years ago
0
#20 extracting Kaggle voxels without Topk

#32 ggantos closed 7 years ago
0
Kaggle from dcm to resampled, thresholded nparrays

#31 ggantos closed 7 years ago
0
Combat overfitting in Hammack's CNN

#30 katyaputintseva closed 7 years ago
0
Implement validation test

#29 katyaputintseva closed 7 years ago
0
Build a logistic regressor for cancer/non-cancer prediction

#28 katyaputintseva closed 7 years ago
0
From LUNA dataset extract patches with false positive tissue

#27 ggantos opened 7 years ago
0
notebook visualizing nodule-voxels and malignancy

#26 ggantos closed 7 years ago
0
code to generate nodule voxels for all LUNA16 patients

#25 ggantos closed 7 years ago
0
'load LUNA .mhd and save to nparray with stats'

#24 ggantos closed 7 years ago
0
load LUNA .mhd and save to nparray

#23 ggantos closed 7 years ago
0
Combine predicted malignancy and other features of each patient to build a model predicting cancer

#22 katyaputintseva closed 7 years ago
0
Using the pretrained model predict malignancy of all the Kaggle stage1 dataset patches

#21 katyaputintseva opened 7 years ago
0
Extract all possible patches from the Kaggle stage1 dataset

#20 katyaputintseva closed 7 years ago
0
From LUNA dataset extract patches with benign tissue

#19 katyaputintseva closed 7 years ago
0
From LUNA dataset extract patches with malignant nodules

#18 katyaputintseva closed 7 years ago
0
Investigate the only one "error patient": b8bb02d229361a623a4dc57aa0e5c485.

#17 XiaoxiaLin closed 7 years ago
1
investigate the "weird" deformed images after preprocessing.

#16 XiaoxiaLin opened 7 years ago
0
Prepare LUNA16 dataset

#15 katyaputintseva closed 7 years ago
0
Search for a model trained on LUNA16

#14 katyaputintseva closed 7 years ago
0
Implement CNN architectures from documentation (Daniel Hammack)

#13 BielStela closed 7 years ago
2
Implement LeNet/AlexNet

#12 katyaputintseva closed 7 years ago
1
Data augmentation for LUNA patches

#11 katyaputintseva closed 7 years ago
2
Implement CNN architectures from documentation of Second classified (Julian de Wit)

#10 BielStela opened 7 years ago
1
make the "add zeros" function

#9 BielStela closed 7 years ago
0
make a function for centering

#8 BielStela closed 7 years ago
0
Make a resizing function

#7 katyaputintseva closed 7 years ago
1
Make a cropping function

#6 katyaputintseva closed 7 years ago
1
Create a masking function

#5 katyaputintseva closed 7 years ago
1
Create ONE preprocessing notebook with all the steps

#4 katyaputintseva opened 7 years ago
1
25/5/2017 simple 3D CNN

#3 ggantos closed 7 years ago
0
preprocessing scripts as of 25/5/2017 - Segment>Resample>Resize

#2 ggantos closed 7 years ago
0
preprocessing scripts as of 10/5/2017 - Resample>Segment>Resize

#1 ggantos closed 7 years ago
0