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
- 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 - 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 - preprocessing Public
`preprocessing` is a python library designed for the purpose of preprocessing MRI data at QTIM. It currently supports reorganization of dicom and nifti files to follow BIDS conventions, dicom to nifti conversion, and preprocessing for brain data. Its outputs are intended to follow the BIDS organizational scheme.
QTIM-Lab/preprocessing’s past year of commit activity - segmentationMonaiLabel Public
QTIM-Lab/segmentationMonaiLabel’s past year of commit activity - GA_Prospective_Study Public
QTIM-Lab/GA_Prospective_Study’s past year of commit activity
