DocumentCode :
141442
Title :
Early melanoma diagnosis with mobile imaging
Author :
Thanh-Toan Do ; Yiren Zhou ; Haitian Zheng ; Ngai-Man Cheung ; Koh, Dawn
Author_Institution :
Singapore Univ. of Technol. & Design, Singapore, Singapore
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
6752
Lastpage :
6757
Abstract :
We research a mobile imaging system for early diagnosis of melanoma. Different from previous work, we focus on smartphone-captured images, and propose a detection system that runs entirely on the smartphone. Smartphone-captured images taken under loosely-controlled conditions introduce new challenges for melanoma detection, while processing performed on the smartphone is subject to computation and memory constraints. To address these challenges, we propose to localize the skin lesion by combining fast skin detection and fusion of two fast segmentation results. We propose new features to capture color variation and border irregularity which are useful for smartphone-captured images. We also propose a new feature selection criterion to select a small set of good features used in the final lightweight system. Our evaluation confirms the effectiveness of proposed algorithms and features. In addition, we present our system prototype which computes selected visual features from a user-captured skin lesion image, and analyzes them to estimate the likelihood of malignance, all on an off-the-shelf smartphone.
Keywords :
cancer; feature selection; image colour analysis; image fusion; image segmentation; maximum likelihood estimation; medical image processing; mobile computing; skin; smart phones; color variation capturing; early melanoma diagnosis; fast skin detection; fast skin fusion; malignance likelihood estimation; melanoma detection; mobile imaging system; off-the-shelf smartphone; selected visual feature selection criterion; smartphone captured image segmentation; user-captured skin lesion image; Accuracy; Feature extraction; Image color analysis; Image segmentation; Lesions; Mobile communication; Skin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6945178
Filename :
6945178
Link To Document :
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