文件名称：老化
文件大小：7.77MB
文件格式：ZIP
更新时间：2024-03-07 01:38:16
JupyterNotebook
老化
【文件预览】：
Aging-master
----temp.ipynb(1KB)
----requirements.txt(99B)
----Fibroblast_detection()
--------rgb2hed_v1.py(2KB)
--------detect_fibroblast_v2.py(8KB)
--------readxml.py(1KB)
--------post_process_all_cell_detection_skin_with_DLresult.ipynb(366KB)
--------xml2mask.py(5KB)
----temp_immune()
--------wf1_v1.ipynb(602KB)
--------wf1_v2_lymp.ipynb(8KB)
--------wf1_v1_lymp.ipynb(3.51MB)
--------detect_immune.py(7KB)
--------opentheslides.ipynb(4.81MB)
--------wf1_v2.ipynb(129KB)
----Matlab preprocessing codes()
--------fill_annotations.m(5KB)
--------Openslide_svstotif.m(4KB)
--------CNN_settings.xlsx(10KB)
--------make_images_from_tiles.m(1KB)
--------load_xml.m(5KB)
--------tissue_classification_pipeline.m(1KB)
--------normalize_annotations_per_class.m(3KB)
--------calculate_tissue_space.m(792B)
--------make_classification_tiles.m(1KB)
--------whitespace_tiles.m(2KB)
--------make_image_tiles.m(1KB)
--------xml2struct2.m(7KB)
----Util()
--------move_deleted_cells.ipynb(4KB)
--------csv_summary.ipynb(4KB)
--------xml2mask_v2.py(2KB)
--------layout_cells.ipynb(871KB)
--------SVS2TIF.ipynb(3KB)
--------sync_image_mask_tiles.ipynb(2KB)
--------swarmplot.ipynb(76KB)
--------gifmaker.ipynb(10KB)
--------readxml.py(1KB)
--------jupyter shortcut.ipynb(910B)
--------evaluate_deeplab.ipynb(21KB)
----.gitignore(11B)
----build_n_apply()
--------classify_fibro_age_mirrored_control.py(14KB)
--------classify_fibro_age.py(15KB)
--------classify_fibro_age_control.py(17KB)
--------classify_fibro_age_mirrored.py(18KB)
--------validate.py(6KB)
--------classify_fibro_age_control_v1.py(17KB)