{ "format": "oscr-script-manifest/1", "repository": "github.com/mariamartinasiain/radiomics_phantom_dose_analysis", "url": "https://github.com/mariamartinasiain/radiomics_phantom_dose_analysis.git", "host": "github.com", "commit": "a16054e6ed33bd3787eb1faaeae05ebd03974336", "license": "MIT", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "LICENSE", "sha256": "e933b49510a28c381dce354488f81210b38e74bd64b017aa65c33b3c0acff269", "language": "License", "lines": 21, "truncated": false, "block": 10, "row": 6014 }, { "path": "README.md", "sha256": "6d1638c3b37fa0da5e01f697fd93f40ed1e4c73292786a832836e89a0eb93e32", "language": "Text", "lines": 67, "truncated": false, "block": 10, "row": 19854 }, { "path": "analyze/analyze_new.py", "sha256": "e21daf2ee6065e3b1d7b8cc6043fe25381ffe96ba61ee33b3059a3931daf3bc9", "language": "Python", "lines": 400, "truncated": false, "block": 10, "row": 16481 }, { "path": "analyze/cc_boxplot_dose.py", "sha256": "61b3aaffb787b4b42ac57f4a4d86842435c8a46aab32fd4f78d55176914b2ecd", "language": "Python", "lines": 224, "truncated": false, "block": 10, "row": 15263 }, { "path": "analyze/compute_icc_dose.py", "sha256": "76ff65890b60cfabf8cdffd290f38611b7da9e0fbd4a00e6b08ce420ebc8513e", "language": "Python", "lines": 168, "truncated": false, "block": 10, "row": 14679 }, { "path": "analyze/create_json_file.py", "sha256": "fd3a5fef3ada1355e5f7cdeb954cecce81bca050c5dcd6c03765db50fd8c3419", "language": "Python", "lines": 51, "truncated": false, "block": 10, "row": 11746 }, { "path": "analyze/dose_analysis.py", "sha256": "db95516abd98cb1797f7d5ff7d71fa32860253da36ab3696679f8da4b9e56035", "language": "Python", "lines": 183, "truncated": false, "block": 10, "row": 14429 }, { "path": "analyze/dose_classification.py", "sha256": "afb82ab2b763c7c6b14529132c9f1b5cb787053019fdbc2939696ebe9a8ce932", "language": "Python", "lines": 275, "truncated": false, "block": 10, "row": 15484 }, { "path": "analyze/dose_regression.py", "sha256": "68f70d43eda2cc96d41776af7968da9b67054e9447e1f770a4832933786bb9ab", "language": "Python", "lines": 198, "truncated": false, "block": 10, "row": 14450 }, { "path": "analyze/image_registration.py", "sha256": "211f4415f432e857e8a716ea1b633771b2682ca979040ee378f440fe8245d5bb", "language": "Python", "lines": 46, "truncated": false, "block": 10, "row": 11552 }, { "path": "analyze/metadata_extraction.py", "sha256": "2e075cc3f7163dbd163c937d20b087eeb3732c213ba01cac1f6a432939c3b0e0", "language": "Python", "lines": 87, "truncated": false, "block": 10, "row": 12725 }, { "path": "analyze/organ_classification.py", "sha256": "66cb5b8d73f654d5f3c71a4ab2ca0d13261a90f0150702eeff3ba5f8b39a82dd", "language": "Python", "lines": 229, "truncated": false, "block": 10, "row": 15087 }, { "path": "analyze/plots.py", "sha256": "181068508cf1ef9e7be43178d2021252fb0a58e76803f82e6201e185d88d5c8c", "language": "Python", "lines": 271, "truncated": false, "block": 10, "row": 15289 }, { "path": "analyze/roi_classification.py", "sha256": "3bc1d738e2c767c5e3182e1d5efde0d20d90282017fa31881d8821f4eb496c42", "language": "Python", "lines": 218, "truncated": false, "block": 10, "row": 15142 }, { "path": "analyze/trials.ipynb", "sha256": "1db5c84e1c41447752037c3b9b82bbe057c997b1fa182ae328fe1e24b8636e5f", "language": "Jupyter", "lines": 3581, "truncated": false, "block": 10, "row": 5982 } ] }