DIAGNijmegen/prostateMR_3D-CAD-csPCa
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.
Python
Stargazers
- Abe404University of Copenhagen
- ahmetkrgztr@HeviAI
- ayanguptaneuriot
- BBQtime
- boydenUSTC
- cslg-z
- DannyDannyDanny0711
- DrraBL
- DykImwfy
- fedorovBrigham and Women's Hospital
- fitusharDuke University
- G-Johnny
- glorytimes
- guopengwei
- HaoLi12345
- Haoxin22
- heejong-kimWeill Cornell Medicine
- imr555Neovotech
- keesvanbochoveThe Hyve
- KhrystynaFarynaRadboudUMC
- lyt-cloud
- mertyergin
- mibaumgartnerDKFZ Heidelberg
- Niixt
- preneondFreelancer
- qingfengxulai03
- Ravimk07Mumbai (MS), India.
- sedghiToronto, CA
- ShammasjavedAgile Loop
- tsikupKarolinska Institutet
- yangyuren03
- yinqishuo安徽大学
- yonefx
- yuanyuan29The University of Sydney
- zhangjue1993Griffith University
- zy080518