FLDetect SVN
Brought to you by:
patrick1238
Menu
▾
▴
Tree [r9] / History
| File | Date | Author | Commit |
|---|---|---|---|
| Annotations | 2020-09-12 | patrick1238 | [r9] A test set and corresponding expert annotations... |
| Basic_lib | 2020-04-29 | patrick1238 | [r7] Minor changes in documentation |
| Gold_standard | 2020-04-29 | patrick1238 | [r4] Code documentation, Otsu's pipeline and watersh... |
| input | 2020-09-12 | patrick1238 | [r8] Input files added |
| output | 2020-04-29 | patrick1238 | [r5] Small bug fixes |
| FLDetect.py | 2020-04-29 | patrick1238 | [r4] Code documentation, Otsu's pipeline and watersh... |
| GNU GENERAL PUBLIC LICENSE.txt | 2020-09-12 | patrick1238 | [r9] A test set and corresponding expert annotations... |
| Readme.txt | 2020-04-29 | patrick1238 | [r7] Minor changes in documentation |
| Requirements.txt | 2020-09-12 | patrick1238 | [r9] A test set and corresponding expert annotations... |
| __init__.py | 2020-04-25 | patrick1238 | [r1] |
| __main__.py | 2020-04-29 | patrick1238 | [r7] Minor changes in documentation |
Read Me
FLDetect is a tool to detect lymphoid follicles in actin-stained tissue slices. For usage follow the following instructions: 1) Install Anaconda3-2019.10 (https://repo.anaconda.com/archive/) 2) Install Mahotas via following conda commands: conda config --add channels conda-forge conda install mahotas 3) Download the programm via Download snapshot 4) Extract folder 5) Start a commandline tool and step inside the downloaded and extracted folder 6) Start the FLDetect module via python ./fldetect-svn-r7/ An example image is provided in the folder "./FLDetect/input/" The output is redirected to the folder "./FLDetect/output/*imagename*/" If you want to change the input and output directory, open the __main__.py and change the variables input_path and working_dir.
