| dc.contributor.advisor | Anantha Chandrakasan. | en_US |
| dc.contributor.author | Huang, Jiarui, M. Eng. Massachusetts Institute of Technology | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2018-02-16T19:27:34Z | |
| dc.date.available | 2018-02-16T19:27:34Z | |
| dc.date.copyright | 2017 | en_US |
| dc.date.issued | 2017 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/113733 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. | en_US |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 62-64). | en_US |
| dc.description.abstract | Vitiligo is a long term skin depigmentation disease that may result in psychological stress. Monitoring changes in vitiligo lesion area allows assessment of treatment efficacy and aids in clinical decision making. Currently existing approaches for vitiligo lesion measurement are either inefficient or inaccurate. Using a RGB-D camera (Kinect) and imaging processing techniques, we develop an automated skin lesion screening system (VLAMS) that can be widely adopted in clinics. VLAMS is tested using clinical medical data. Results show VLAMS can consistently segment target lesion region and accurately measure lesion area of any skin surface. | en_US |
| dc.description.statementofresponsibility | by Jiarui Huang. | en_US |
| dc.format.extent | 64 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Automatic 3D surface area measurement for vitiligo lesions | en_US |
| dc.title.alternative | Automatic three-D surface area measurement for vitiligo lesions | en_US |
| dc.title.alternative | Automatic three-dimensional surface area measurement for vitiligo lesions | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 1022850040 | en_US |
