SVMs applied to objective aesthetic evaluation of conservative breast cancer treatment

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

Cardoso, JS (Author) FCUP; da Costa, JFP (Author) FCUP; Cardoso, MJ (Author) Other

Conference proceedings International

Title: Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5

Pages: 2481-2486

IEEE International Joint Conference on Neural Networks (IJCNN 2005)

Montreal, CANADA, JUL 31-AUG 04, 2005

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 5 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Technological sciences > Engineering > Biomedical enginnering

Other information

Authenticus ID: P-000-6JN

DOI: 10.1109/ijcnn.2005.1556292

Abstract (EN): Cosmetic assessment or conservative breast cancer treatment plays a major role in the study of breast cancer techniques. Objective assessment methods are being preferred to overcome the drawbacks of subjective evaluation. In this paper a methodology for the objective assessment of conservative breast cancer treatment is proposed. The quantitative measures used in this research provide an objective way to calculate the overall cosmetic result. We report experiments using support vector machines to derive an optimal assessment rule. The results seem to indicate that it is possible to construct an algorithm for a complete objective classification of the aesthetic result of breast conservative treatment.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6