Enhanced 3D curvature pattern and melanoma diagnosis

Warr, Robert; Zhou, Yu; Smith, Melvyn; Smith, Lyndon; Farooq, Abdul

doi:10.1016/j.compmedimag.2010.10.004

All Outputs (4)

Biological indexes based reflectional asymmetry for classifying cutaneous lesions (2011)
Journal Article
Liu, Z., Smith, L., Sun, J., Smith, M., & Warr, R. (2011). Biological indexes based reflectional asymmetry for classifying cutaneous lesions. Lecture Notes in Artificial Intelligence, 6893 LNCS(PART 3), 124-132. https://doi.org/10.1007/978-3-642-23626-6_16

This paper proposes a novel reflectional asymmetry descriptor to quantize the asymmetry of the cutaneous lesions for the discrimination of malignant melanoma from benign nevi. A pigmentation elevation model of the biological indexes is first construc... Read More about Biological indexes based reflectional asymmetry for classifying cutaneous lesions.

Using photometric stereo for face recognition (2011)
Journal Article
Atkinson, G., & Smith, M. (2011). Using photometric stereo for face recognition

Machine vision 3D skin texture analysis for detection of melanoma (2011)
Journal Article
Ding, Y., Smith, L., Smith, M., Farooq, A., Sun, J., & Warr, R. (2011). Machine vision 3D skin texture analysis for detection of melanoma. Sensor Review, 31(2), 111-119. https://doi.org/10.1108/02602281111109961

Pur ose - The ur ose of this a er is to describe innovative machine vision methods that have been em loyed for the ca ture and analysis of 3D skin textures; and the resulting otential for assisting with identification of sus icious lesions in the det... Read More about Machine vision 3D skin texture analysis for detection of melanoma.

Enhanced 3D curvature pattern and melanoma diagnosis (2011)
Journal Article
Warr, R., Zhou, Y., Smith, M., Smith, L., & Farooq, A. (2011). Enhanced 3D curvature pattern and melanoma diagnosis. Computerized Medical Imaging and Graphics, 35(2), 155-165. https://doi.org/10.1016/j.compmedimag.2010.10.004

This article describes an enhanced curvature pattern based melanoma diagnosis system using convolution techniques and ensemble classifiers. We extract the 3. D data of melanoma with a photometric stereo device first. Then differential forms of the me... Read More about Enhanced 3D curvature pattern and melanoma diagnosis.