Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)
active 2023-08-19 → 2025-12-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 863 days from 2023-08-19 to 2025-12-28. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 25 total, peak 2 in a day. Comments: 75 total, peak 6 in a day. Stars: 114 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ge-xing | 23 | 1 | 0 | 22 |
| 920232796 | 7 | 0 | 0 | 7 |
| OCEANOUXIN | 6 | 0 | 0 | 6 |
| ZhengChen6 | 6 | 0 | 0 | 4 |
| Worker-Hou | 5 | 0 | 0 | 3 |
| iffthomas | 4 | 0 | 0 | 4 |
| Destinycjk | 4 | 0 | 0 | 2 |
| Devil-Ideal | 4 | 0 | 0 | 4 |
| cqlouis | 3 | 0 | 0 | 2 |
| shenggebiya | 3 | 0 | 0 | 2 |
| alqurri77 | 3 | 0 | 0 | 1 |
| wywyq | 3 | 0 | 0 | 0 |
| GVJHK | 2 | 0 | 0 | 2 |
| Benbie | 2 | 0 | 0 | 1 |
| SillenceHu | 2 | 0 | 0 | 1 |
| JoeQvQ | 2 | 0 | 0 | 2 |
| holawx | 2 | 0 | 0 | 0 |
| lad02837 | 2 | 0 | 0 | 1 |
| CLKSDF | 1 | 0 | 0 | 1 |
| Liour | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#14YunyaoShen2025-07-08 20:30Cannot execute test.py with cuda.
- Issue#44RitoDas19232025-04-18 18:47PreTrained model for Brats2020
- Issue comment#39Hwa-ZZZ2025-04-06 13:04unable to reproduce the results of BTCV, only a mean dice score of 0.2.
- Issue comment#43ge-xing2025-03-21 14:18Adaptation for single channel CT scan
- Issue#43ariharasudhanm2025-03-20 15:14Adaptation for single channel CT scan
- Issue#42holawx2025-03-18 08:15如何可视化结果
- Issue#41holawx2025-03-17 15:17how to read the log in the form of .0 type
- Issue comment#40Destinycjk2024-11-20 14:16torch.distributed.elastic.multiprocessing.errors.ChildFailedError
- Issue#40Destinycjk2024-11-20 14:16torch.distributed.elastic.multiprocessing.errors.ChildFailedError
- Issue comment#40Destinycjk2024-11-20 07:28torch.distributed.elastic.multiprocessing.errors.ChildFailedError
- Issue comment#40ge-xing2024-11-20 06:59torch.distributed.elastic.multiprocessing.errors.ChildFailedError
- Issue#40Destinycjk2024-11-20 06:29torch.distributed.elastic.multiprocessing.errors.ChildFailedError
- Issue comment#39ge-xing2024-07-21 09:05unable to reproduce the results of BTCV, only a mean dice score of 0.2.
- Issue#39XinYue-Yu10312024-07-21 02:43unable to reproduce the results of BTCV, only a mean dice score of 0.2.
- Issue comment#32ge-xing2024-07-13 15:59The reason why the author's results cannot be reproduced
- Issue comment#32zz9732024-07-13 09:29The reason why the author's results cannot be reproduced
- Issue#38Worker-Hou2024-06-30 13:55How training can continue based on saved training parameters when training is interrupted.
- Issue comment#38Worker-Hou2024-06-30 13:55How training can continue based on saved training parameters when training is interrupted.
- Issue comment#38ge-xing2024-06-30 12:52How training can continue based on saved training parameters when training is interrupted.
- Issue comment#38Worker-Hou2024-06-30 06:52How training can continue based on saved training parameters when training is interrupted.
- Issue comment#38ge-xing2024-06-30 05:06How training can continue based on saved training parameters when training is interrupted.
- Issue comment#38Worker-Hou2024-06-29 13:47How training can continue based on saved training parameters when training is interrupted.
- Issue#38Worker-Hou2024-06-29 13:46How training can continue based on saved training parameters when training is interrupted.
- Issue comment#37ge-xing2024-05-16 00:36AMOS22
- Issue comment#37shenggebiya2024-05-15 12:38AMOS22
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 114 stars here means stars gained during the window, not the repo's star count.