| Name | Version | Summary | date |
| sfftk |
0.10.3 |
Toolkit for working with EMDB-SFF and other segmentation file formats |
2024-02-26 00:20:46 |
| semisup-segmentation |
0.0.101 |
API that provides methods to construct deep segmentation models using semi-supervised methods. |
2024-01-24 12:54:19 |
| segment-torch |
0.0.10 |
Universal implementation of the UNet architecture for image segmentation. |
2024-01-19 04:24:24 |
| NPSAM |
1.3 |
NP-SAM is an easy-to-use segmentation and analysis tool for nanoparticles and more. |
2024-01-18 13:39:06 |
| delia |
1.2.7 |
DICOM Extraction for Large-scale Image Analysis (DELIA). |
2023-12-27 18:58:53 |
| deepthulac |
0.1.3 |
A High-Performance Lexical Analyzer for Chinese |
2023-11-16 13:53:55 |
| PyGeoRaster |
1.0.1 |
tiff split or merge |
2023-10-25 01:50:45 |
| maphis |
1.0.9 |
Hierarchical segmentation and extraction of various measurements from photos of (not only) arthropods. |
2023-10-20 12:05:50 |
| FiReTiTiPyLib |
1.5.7 |
Python libraries used as support/tools. |
2023-09-28 21:06:25 |
| eyesegpy |
1.0.2 |
A python command line tool to segment drusen and retinal layers in OCT images. |
2023-09-28 08:24:10 |
| sfftk-rw |
0.8.1 |
Toolkit for reading and writing EMDB-SFF files |
2023-09-26 15:37:23 |
| anoseg |
0.0.4 |
Anomaly Segmentation |
2023-09-19 12:01:49 |
| bbox-merger |
0.0.11 |
This Module will help you out in merging your bboxes if overlaps |
2023-09-06 10:04:48 |
| hebpipe |
3.0.0.6 |
A pipeline for Hebrew NLP |
2023-08-22 00:50:27 |
| CellStar |
2.0.3 |
Algorithm for round cells identification in the brightfield microscopy images. |
2023-08-19 10:57:13 |
| element-zstack |
0.1.2 |
DataJoint Element for Volume Segmentation |
2023-08-10 14:30:02 |
| roerich |
0.6.0 |
Change point detection. |
2023-07-17 10:48:39 |
| BrainLes-AURORA |
0.0.3 |
TODO. |
2023-07-14 19:04:22 |
| LabelFusion |
1.0.14 |
Label fusion strategies for multi-class labels. |
2023-07-12 22:34:20 |
| fundus-lesions-toolkit |
0.1.0b0 |
Tools Lesions Segmentation in Fundus |
2023-07-06 22:13:29 |