Principal Axes-Based Asymmetry Assessment Methodology for Skin Lesion Image Analysis

Maria João M. Vasconcelos, Luís Rosado, Márcia Ferreira. Principal Axes-Based Asymmetry Assessment Methodology for Skin Lesion Image Analysis. In George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ryan McMahan, Jason Jerald, Hui Zhang 0006, Steven M. Drucker, Chandra Kambhamettu, Maha El Choubassi, Zhigang Deng, Mark Carlson, editors, Advances in Visual Computing - 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part II. Volume 8888 of Lecture Notes in Computer Science, pages 21-31, Springer, 2014. [doi]

@inproceedings{VasconcelosRF14,
  title = {Principal Axes-Based Asymmetry Assessment Methodology for Skin Lesion Image Analysis},
  author = {Maria João M. Vasconcelos and Luís Rosado and Márcia Ferreira},
  year = {2014},
  doi = {10.1007/978-3-319-14364-4_3},
  url = {http://dx.doi.org/10.1007/978-3-319-14364-4_3},
  researchr = {https://researchr.org/publication/VasconcelosRF14},
  cites = {0},
  citedby = {0},
  pages = {21-31},
  booktitle = {Advances in Visual Computing - 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part II},
  editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ryan McMahan and Jason Jerald and Hui Zhang 0006 and Steven M. Drucker and Chandra Kambhamettu and Maha El Choubassi and Zhigang Deng and Mark Carlson},
  volume = {8888},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-14363-7},
}