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arXiv · 1711.09553

Accessible Melanoma Detection using Smartphones and Mobile Image Analysis

T. -T. Do·T. Hoang·V. Pomponiu·Y. Zhou·Z. Chen·N. -M. Cheung·D. Koh·A. Tan·S. -H. Tan
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Abstract

We investigate the design of an entire mobile imaging system for early detection of melanoma. Different from previous work, we focus on smartphone-captured visible light images. Our design addresses two major challenges. First, images acquired using a smartphone under loosely-controlled environmental conditions may be subject to various distortions, and this makes melanoma detection more difficult. Second, processing performed on a smartphone is subject to stringent computation and memory constraints. In our work, we propose a detection system that is optimized to run entirely on the resource-constrained smartphone. Our system intends to localize the skin lesion by combining a lightweight method for skin detection with a hierarchical segmentation approach using two fast segmentation methods. Moreover, we study an extensive set of image features and propose new numerical features to characterize a skin lesion. Furthermore, we propose an improved feature selection algorithm to determine a small set of discriminative features used by the final lightweight system. In addition, we study the human-computer interface (HCI) design to understand the usability and acceptance issues of the proposed system.

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T. -T. Do, T. Hoang, V. Pomponiu, Y. Zhou, Z. Chen, N. -M. Cheung, D. Koh, A. Tan, S. -H. Tan. 2018-02-26. Accessible Melanoma Detection using Smartphones and Mobile Image Analysis. https://arxiv.org/abs/1711.09553

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