Feature extraction from skin cancer images
Malignant melanoma is one of the most aggressive types of cancer, it can be healed by surgical excision if it is recognized in the early stage. So it becomes very important and useful to develop an automated melanoma recognition system.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
2008
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/3912 |
| _version_ | 1826119925994881024 |
|---|---|
| author | Yuan, Hong. |
| author2 | Suganthan, Ponnuthurai Nagaratnam |
| author_facet | Suganthan, Ponnuthurai Nagaratnam Yuan, Hong. |
| author_sort | Yuan, Hong. |
| collection | NTU |
| description | Malignant melanoma is one of the most aggressive types of cancer, it can be healed by surgical excision if it is recognized in the early stage. So it becomes very important and useful to develop an automated melanoma recognition system. |
| first_indexed | 2024-10-01T05:08:06Z |
| format | Thesis |
| id | ntu-10356/3912 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T05:08:06Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/39122023-07-04T15:01:29Z Feature extraction from skin cancer images Yuan, Hong. Suganthan, Ponnuthurai Nagaratnam School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Malignant melanoma is one of the most aggressive types of cancer, it can be healed by surgical excision if it is recognized in the early stage. So it becomes very important and useful to develop an automated melanoma recognition system. Master of Science 2008-09-17T09:40:14Z 2008-09-17T09:40:14Z 2004 2004 Thesis http://hdl.handle.net/10356/3912 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Yuan, Hong. Feature extraction from skin cancer images |
| title | Feature extraction from skin cancer images |
| title_full | Feature extraction from skin cancer images |
| title_fullStr | Feature extraction from skin cancer images |
| title_full_unstemmed | Feature extraction from skin cancer images |
| title_short | Feature extraction from skin cancer images |
| title_sort | feature extraction from skin cancer images |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems |
| url | http://hdl.handle.net/10356/3912 |
| work_keys_str_mv | AT yuanhong featureextractionfromskincancerimages |