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QTIM Lab · GitHub
QTIM Lab
The Quantitative Translational Imaging in Medicine Lab at the Martinos Center (MGH/HST)
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A deep learning python package for neuroimaging data. Made by:
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Jupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.
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Code base for preprocessing, segmentation and classification of retinal images
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A 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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preprocessing
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`preprocessing` is a python library and CLI tool designed for the purpose of preprocessing MRI data for Deep Learning at QTIM.
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A web-based application for annotating medical images with vertical line markers.
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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
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