Diagnostic Image Analysis Group

Diagnostic Image Analysis Group's repositories

pathology-streaming-pipeline

Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.

Language:PythonApache-2.074 5 6

picai_labels

Annotations for the PI-CAI Challenge: Public Training and Development Dataset

NOASSERTION45 6 8

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

Language:Python39 6 2

spgnn

Structure and position aware graph neural network for airway labeling

Language:Python13 5 2

panda-challenge

Code related to the PANDA challenge on artificial intelligence for Gleason grading

Language:Jupyter NotebookApache-2.012 60

drive-vessels-unet

Language:PythonApache-2.06 4 3

pathology-tiger-baseline

Language:PythonApache-2.06 5 1

bodyct-luna22-ismi-training-baseline

Baseline repo for LUNA22-ismi challenge

Language:PythonApache-2.0300

adhesion_detection

Adhesion detection on cine MRI

Language:Jupyter NotebookApache-2.0200

flare22-brananas

Codebase of team brananas for the FLARE22 challenge

Language:PythonMIT2 30

bodyct-dram

Language:Python1 50

frodo

library for FRODO

Language:PythonMIT100

nnDetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Language:PythonApache-2.0100