MIMIR-BIOMEDICAL/mobile-unetplusplus-cac-scoring
Implementation of UNET++ for CAC Scoring using Tensorflow
Jupyter NotebookMIT
Issues
- 2
CoCa Dataset
#186 opened by SantiagoPendon - 1
COCa dataset image precess
#185 opened by CharisWg - 0
Hotfix for supercomp
#181 opened by ditwrd - 0
- 0
Hotfix binary
#177 opened by ditwrd - 0
Fix monitor for bin class
#174 opened by ditwrd - 0
Added learning rate scheduler
#170 opened by ditwrd - 0
Create mult output branch
#171 opened by ditwrd - 0
- 0
Create Streamlit App
#167 opened by ditwrd - 0
use binaryfocalcrossentropy from keras
#161 opened by ditwrd - 0
Create all positive dataset
#165 opened by ditwrd - 0
Make random undersampling
#160 opened by ditwrd - 0
- 0
fix testing notebook
#158 opened by ditwrd - 0
Notebook for system technical data acquisition
#145 opened by ditwrd - 0
Add back random oversampling
#156 opened by ditwrd - 0
Add missing cli param for log cosh focal
#154 opened by ditwrd - 0
Remove unnecessary metric on training
#151 opened by ditwrd - 0
Add back tensorflow compression
#148 opened by ditwrd - 0
Reverse segmentation image index
#146 opened by ditwrd - 0
Notebook for model technical data acquisition
#143 opened by ditwrd - 0
Simplified problem to binary classification
#140 opened by ditwrd - 0
- 0
Fix default basic unet++
#138 opened by ditwrd - 0
Add data testing notebook
#136 opened by ditwrd - 0
Add back unified focal loss with multiclass support
#132 opened by ditwrd - 0
Fix typo on training
#130 opened by ditwrd - 0
Add cli selection for exponential decay rate
#127 opened by ditwrd - 0
Resample data for model
#125 opened by ditwrd - 0
Added Dice loss without bg
#122 opened by ditwrd - 0
Create Dice Focal Loss
#120 opened by ditwrd - 0
Added learning scheduler
#118 opened by ditwrd - 0
Fix params on modelcheckpoint
#116 opened by ditwrd - 0
Added custom dice coef metrics
#114 opened by ditwrd - 0
- 0
Add missing preprocess function on auto cac system
#109 opened by ditwrd - 0
Add weighted categorical crossentropy
#108 opened by ditwrd - 0
Resample dataset to reduce imbalanced dataset
#106 opened by ditwrd - 0
- 0
- 0
Troubleshoot exploding/vanishing gradient
#99 opened by ditwrd - 0
Fix model training cli
#97 opened by ditwrd - 0
Try every possible loss function
#93 opened by ditwrd - 0
Postprocessing: create postprocessing pipeline
#94 opened by ditwrd - 0
- 0
Postprocessing: Connected Component Labelling
#84 opened by ditwrd - 0
Rework preprocessing method
#88 opened by ditwrd - 0
Remove binary segmentation as model output
#85 opened by ditwrd - 0
Add flood fill for segmentation data to get full segmentation rather than perimeter segmentation
#82 opened by ditwrd