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Tool profile

MrGiovanni/ModelsGenesis

dying

[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.

3d-model3d-segmentationchest-ctctfeature-learningfine-tuningfoundation-modelsmedical-image-analysis
Velocity score
0.00/ 10
[STARS]
791
[FORKS]
141
[CONTRIBUTORS]
10
[LAST_COMMIT]
1mo ago
OPEN_ON_GITHUB
Velocity class: dying
Is MrGiovanni/ModelsGenesis still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
419/ 1000
fine-tuning · MrGiovanni/ModelsGenesis
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
328
[INSTALL_VEL]
500
[ACTIVITY]
495
[COMMUNITY_SIGNAL]
610

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout