Outlier estimation and detection application to skin lesion classification

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2002, Pages 1049-1052

  Sigurdsson, S ^a   Larsen, J ^a   Hansen, L K ^a   Philipsen, P A ^b   Wulf, H C ^b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL CLASSIFIERS; SKIN LESION CLASSIFICATION;

DERMATOLOGY; MEDICAL IMAGING; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION;

PATTERN RECOGNITION;

EID: 0036296969     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2002.5743975     Document Type: Article

References (13)

1. Design of robust neural network classifiers
2. Adaptive regularization of neural classifiers
3. Probabilistic interpretation of feedforward classification network outputs with relationships to statistical pattern recognition
4. A practical Bayesian framework for back-propagation networks
5. The evidence framework applied to classification networks
6. Comparison of approximate methods for handling hyperparameters
7. Accuracy in the clinical diagnosis and pattern of malignant melanoma at a dermatologic clinic
8. Screening for melanoma/skin cancer
9. Früherkennung des malignen Melanoms der Haut