QTIM Lab
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qtim_Tutorials
qtim_Tutorials PublicJupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.
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qtim_tools
qtim_tools PublicA set of tools used for quantitative analysis of and machine learning from 3D medical images. Created by the Quantitative Tumor Imaging Lab at Martinos.
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Repositories
- preprocessing Public
`preprocessing` is a python library and CLI tool designed for the purpose of preprocessing MRI data for Deep Learning at QTIM.
QTIM-Lab/preprocessing’s past year of commit activity - dl-prediction-brca-tiph-ext Public Forked from QTIM-Lab/dl-prediction-brca-tiph
Implementation of the paper "Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology" by Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina V. Hoebel, Mason Cleveland, Syed Rakin Ahmed, Elizabeth Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge and Albert E. Kim.
QTIM-Lab/dl-prediction-brca-tiph-ext’s past year of commit activity - Hereditary_glaucoma Public
Code to download publicly available datasets on disc and cup segmentation from Color Fundus Photos and to train a segmentation model.
QTIM-Lab/Hereditary_glaucoma’s past year of commit activity - Hereditary_FeTS22 Public
QTIM-Lab/Hereditary_FeTS22’s past year of commit activity - codabench Public Forked from codalab/codabench
Codabench is a flexible, easy-to-use and reproducible benchmarking platform. Check our paper at Patterns Cell Press https://hubs.li/Q01fwRWB0
QTIM-Lab/codabench’s past year of commit activity - fundus_detection_segmentation_pipeline Public
For fundus photography to obtain segmentation-based clinical metrics using a 2-step detection and segmentation pipeline
QTIM-Lab/fundus_detection_segmentation_pipeline’s past year of commit activity
