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  Automated Detection of New or Evolving Melanocytic Lesions Using a 3D Body Model

Bogo, F., Romero, J., Peserico, E., & Black, M. J. (2014). Automated Detection of New or Evolving Melanocytic Lesions Using a 3D Body Model. In P. Golland, N. Hata, C. Barillot, J. Hornegger, & R. Howe (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014. Proceedings, Part I (pp. 593-600). Cham et al.: Springer International Publishing. doi:10.1007/978-3-319-10404-1_74.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-E367-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-E368-F
Genre: Conference Paper

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 Creators:
Bogo, Federica1, Author           
Romero, Javier1, Author           
Peserico, Enoch, Author
Black, Michael J.1, Author           
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Free keywords: Abt. Black
 Abstract: Detection of new or rapidly evolving melanocytic lesions is crucial for early diagnosis and treatment of melanoma.We propose a fully automated pre-screening system for detecting new lesions or changes in existing ones, on the order of 2 - 3mm, over almost the entire body surface. Our solution is based on a multi-camera 3D stereo system. The system captures 3D textured scans of a subject at different times and then brings these scans into correspondence by aligning them with a learned, parametric, non-rigid 3D body model. This means that captured skin textures are in accurate alignment across scans, facilitating the detection of new or changing lesions. The integration of lesion segmentation with a deformable 3D body model is a key contribution that makes our approach robust to changes in illumination and subject pose.

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 Dates: 2014-09
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-319-10404-1_74
BibTex Citekey: bogo:miccai:2014
 Degree: -

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Title: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014. 17th International Conference
Place of Event: Boston, MA
Start-/End Date: 2014-09-14 - 2014-09-18

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Title: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014. Proceedings, Part I
Source Genre: Proceedings
 Creator(s):
Golland, Polina, Editor
Hata, Nobuhiko, Editor
Barillot, Christian, Editor
Hornegger, Joachim, Editor
Howe, Robert, Editor
Affiliations:
-
Publ. Info: Cham et al. : Springer International Publishing
Pages: - Volume / Issue: (1) Sequence Number: - Start / End Page: 593 - 600 Identifier: ISBN: 978-3-319-10403-4
ISBN: 978-3-319-10404-1

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 8673 Sequence Number: - Start / End Page: - Identifier: -