Artificial Intelligence Resource, Molecular Imaging Branch, NCI, NIH
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Radiology_Image_Preprocessing_for_Deep_Learning
Radiology_Image_Preprocessing_for_Deep_Learning PublicA Quick Guide on Radiology Image Pre-processing for Deep Learning Applications in Prostate Cancer Research
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semiautomated_PIRADS
semiautomated_PIRADS PublicScripts used in the development of the paper "Deep Learning Based Artificial Intelligence for PI-RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study"
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WSI_LungTumorSeg
WSI_LungTumorSeg PublicArlova et al WSI tumor segmentation of lung adenocarcinoma in mouse models
Python 4
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BLCA_LNprediction
BLCA_LNprediction Publicrepository of code used for Harmon, Sanford et al "Multi-resolution Application of Artificial Intelligence in Digital Pathology for Prediction of Positive Lymph Nodes from Primary Tumors in Bladder…
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PyComputeBValue
PyComputeBValue PublicCalculate b-value images from two or more other b-value images using a monoexponential model (for prostate mpMRI).
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mPCA_detect
mPCA_detect Publicbinary cancer detection based on resnet50. input: openslide compatible WSI. output: qupath json, probability map
Python 2
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codebase for prostate gland segmentation model
NIH-MIP/ProstateGlandSeg’s past year of commit activity - FDG-PET-CT_AI Public Forked from HFahmida/FDG-PET-CT_AI
Repository for the paper "Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts"
NIH-MIP/FDG-PET-CT_AI’s past year of commit activity - PPGL_AI Public Forked from HFahmida/PPGL_AI
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NIH-MIP/PPGL_AI’s past year of commit activity - doghuman_TME_deconvolution Public Forked from spatkar94/doghuman_TME_deconvolution
This repository contains the scripts to perform large-scale comparative deconvolution analysis of the canine and human Osteosarcoma tumor microenvironment
NIH-MIP/doghuman_TME_deconvolution’s past year of commit activity - PCa-Detect-Grade Public
NIH-MIP/PCa-Detect-Grade’s past year of commit activity - RandomSplit Public
Fairly partition training/test sets with respect to several counting-based criteria.
NIH-MIP/RandomSplit’s past year of commit activity - Radiology_Image_Preprocessing_for_Deep_Learning Public
A Quick Guide on Radiology Image Pre-processing for Deep Learning Applications in Prostate Cancer Research
NIH-MIP/Radiology_Image_Preprocessing_for_Deep_Learning’s past year of commit activity
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