Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks

Author:

Srividhya V.,Sujatha K.,Ponmagal R.S.,Durgadevi G.,Madheshwaran L.,V.

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

1. High-level intuitive features (HLIFs) for intuitive skin lesion description;Amelard;IEEE Transactions on Biomedical Engineering,2015

2. MSIM: Multi-Stage Illumination Modeling of Dermatological Photographs for Illumination-Corrected Skin Lesion Analysis;Glaister;IEEE Transactions on Biomedical Engineering,2013

3. . Chung, A., C. Scharfenberger, F. Khalvati, A. Wong, and M.A. Haider, "Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection", International Conference on Image Analysis and Recognition (ICIAR), July, 2015.

4. . Kazemzadeh, F., S. Haider, A. Wong, C. Scharfenberger, and D.A. Clausi, "Concurrent Multiview Discrete Spectral Imaging Device from the VIS to the NIR", SPIE: Optics + Photonics, Novel Optical Systems Design and Optimization XVII, vol. 9193, San Diego, USA, SPIE Proceedings, 2014.

5. . Amelard, R., A. Wong, and D.A. Clausi, "Extracting Morphological High-Level Intuitive Features (HLIF) for Enhancing Skin Lesion Classification", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, pp. 4458 - 4461, August,2012.

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