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
- model_conversion Public
For cervical cancer model conversion to tflite and executorch for use on edge (android) devices
QTIM-Lab/model_conversion’s past year of commit activity - segmentationMonaiLabel Public
QTIM-Lab/segmentationMonaiLabel’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 - 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 - FL_ViT_pretraining Public
QTIM-Lab/FL_ViT_pretraining’s past year of commit activity - video_action_annotation Public
QTIM-Lab/video_action_annotation’s past year of commit activity