{ "info": { "author": "Nakeisha Schimke, John Hale", "author_email": "neuroimaging@python.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Software Development :: Build Tools" ], "description": "Quickshear\n----------\nQuickshear uses a skull stripped version of an anatomical images as a reference\nto deface the unaltered anatomical image.\n\nUsage::\n\n quickshear.py [-h] anat_file mask_file defaced_file [buffer]\n\n Quickshear defacing for neuroimages\n\n positional arguments:\n anat_file filename of neuroimage to deface\n mask_file filename of brain mask\n defaced_file filename of defaced output image\n buffer buffer size (in voxels) between shearing plane and the brain\n (default: 10.0)\n\n optional arguments:\n -h, --help show this help message and exit\n\nFor a full description, see the following paper:\n\n.. [Schimke2011] Schimke, Nakeisha, and John Hale. \"Quickshear defacing for neuroimages.\"\n Proceedings of the 2nd USENIX conference on Health security and privacy.\n USENIX Association, 2011.\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/nipy/quickshear", "keywords": "neuroimaging neuroscience", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "quickshear", "package_url": "https://pypi.org/project/quickshear/", "platform": "", "project_url": "https://pypi.org/project/quickshear/", "project_urls": { "Homepage": "https://github.com/nipy/quickshear" }, "release_url": "https://pypi.org/project/quickshear/1.1.0/", "requires_dist": null, "requires_python": "", "summary": "Quickshear Defacing for Neuroimages", "version": "1.1.0" }, "last_serial": 2894254, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "2a90f75c7ac68ed30b72e92dc9ddf51f", "sha256": "9592036a0b535c2130f7909e8b5770ae3ca9eedb9a4e172a4bf2f4d836307e2d" }, "downloads": -1, "filename": "quickshear-1.0.0.tar.gz", "has_sig": false, "md5_digest": "2a90f75c7ac68ed30b72e92dc9ddf51f", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4144, "upload_time": "2017-03-04T21:20:29", "url": "https://files.pythonhosted.org/packages/82/03/962267e89efea7687154c2a51c40e949677ab4053a6eb621adc43a40f0fe/quickshear-1.0.0.tar.gz" } ], "1.1.0": [ { "comment_text": "", "digests": { "md5": "a7d3b7830e5c8b3fae7ca99f32c0ad29", "sha256": "b17108dd5ccfbb999955f7b7ac61af1870b0314bc85f6963926fc53616011135" }, "downloads": -1, "filename": "quickshear-1.1.0.tar.gz", "has_sig": false, "md5_digest": "a7d3b7830e5c8b3fae7ca99f32c0ad29", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5170, "upload_time": "2017-05-23T20:39:26", "url": "https://files.pythonhosted.org/packages/de/0c/4f29adceba7fee8416807b145d69606c3bed99a8cfe2c2b354a368bbd4d0/quickshear-1.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "a7d3b7830e5c8b3fae7ca99f32c0ad29", "sha256": "b17108dd5ccfbb999955f7b7ac61af1870b0314bc85f6963926fc53616011135" }, "downloads": -1, "filename": "quickshear-1.1.0.tar.gz", "has_sig": false, "md5_digest": "a7d3b7830e5c8b3fae7ca99f32c0ad29", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 5170, "upload_time": "2017-05-23T20:39:26", "url": "https://files.pythonhosted.org/packages/de/0c/4f29adceba7fee8416807b145d69606c3bed99a8cfe2c2b354a368bbd4d0/quickshear-1.1.0.tar.gz" } ] }