Computer aided skin lesion diagnosis with humans in the loop

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7588 LNCS, Issue , 2012, Pages 266-274

  Razeghi, Orod ^a   Qiu, Guoping ^a   Williams, Hywel ^a   Thomas, Kim ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Dermatological Image Recognition; Human in the Loop

Indexed keywords

COMPUTER AIDED; COMPUTER VISION ALGORITHMS; COMPUTER VISION TECHNIQUES; DERMATOLOGICAL IMAGES; HUMAN RESPONSE; HUMAN-IN-THE-LOOP; MEDICAL KNOWLEDGE; REAL-WORLD PROBLEM; RECOGNITION RATES; RECOGNITION SYSTEMS; SKIN DISEASE; SKIN LESION; VISUAL RECOGNITION;

DERMATOLOGY; DIAGNOSIS; IMAGE RECOGNITION; LEARNING SYSTEMS; MEDICAL IMAGING;

COMPUTER VISION;

EID: 84870014425     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35428-1_33     Document Type: Conference Paper

References (17)

1. Pfitzner, J., O'Rourke, M., Knight, N., Green, A., Martin, N.: Computer image analysis in the diagnosis of melanoma. Journal of the American Academy of Dermatology 31, 958-964 (1994)
2. Ashton, R., Leppard, B.: Differential diagnosis in dermatology. Radcliffe (2005)
3. Ballerini, L., Li, X., Fisher, R.B., Aldridge, B., Rees, J.: Content-Based Image Retrieval of Skin Lesions by Evolutionary Feature Synthesis. In: Di Chio, C., Cagnoni, S., Cotta, C., Ebner, M., Ekárt, A., Esparcia-Alcazar, A.I., Goh, C.-K., Merelo, J.J., Neri, F., Preuß, M., Togelius, J., Yannakakis, G.N. (eds.) EvoApplicatons 2010, Part I. LNCS, vol. 6024, pp. 312-319. Springer, Heidelberg (2010)
4. Branson, S., Wah, C., Schroff, F., Babenko, B., Welinder, P., Perona, P., Belongie, S.: Visual Recognition with Humans in the Loop. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 438-451. Springer, Heidelberg (2010)
5. Claridge, E., Cotton, S.D., Hall, P., Moncrieff, M.: From Colour to Tissue Histology: Physics Based Interpretation of Images of Pigmented Skin Lesions. In: Dohi, T., Kikinis, R. (eds.) MICCAI 2002. LNCS, vol. 2488, pp. 730-738. Springer, Heidelberg (2002)
6. Ganster, H., Pinz, P., Rohrer, R., Wildling, E., Binder, M., Kittler, H.: Automated melanoma recognition. IEEE Transactions on Medical Imaging 20, 233-239 (2001)
7. Muller, H., Rosset, A., Vallee, J.-P., Geissbuhler, A.: Integrating content-based visual access methods into a medical case database. In: Proceedings of the Medical Informatics Europe Conference, MIE 2003 (2003)
8. Oliva, A., Torralba, A.: Modeling the shape of the scene: A holistic representation of the spatial envelope. Int. J. Comput. Vision 42, 145-175 (2001)
9. Orabona, F., Luo, J., Caputo, B.: Online-batch strongly convex multi kernel learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2010)
10. Qiu, G.: Indexing chromatic and achromatic patterns for content-based colour image retrieval. Pattern Recognition 35, 1675-1686 (2002)
11. Qiu, G., Yuen, P.C.: Editorial: Interactive imaging and vision-ideas, algorithms and applications. Pattern Recogn. 43, 431-433 (2010)
12. Rubegni, P., Cevenini, G., Burroni, M., Perotti, R., Dell'Eva, G., Sbano, P., Miracco, C., Luzi, P., Tosi, P., Barbini, P., Andreassi, L.: Automated diagnosis of pigmented skin lesions. International Journal of Cancer 101, 576-580 (2002)
13. Safi, A., Castaneda, V., Lasser, T., Navab, N.: Skin Lesions Classification with Optical Spectroscopy. Springer (2010)
14. Savolainen, L., Kontinen, J., Alatalo, E., Rning, J., Oikarinen, A.: Comparison of actual psoriasis surface area and the psoriasis area and severity index by the human eye and machine vision methods in following the treatment of psoriasis. Acta Dermatovenereologica 78, 466-467 (1998)
15. Schmid-Saugeona, P., Guillodb, J., Thiranaand, J.-P.: Towards a computer-aided diagnosis system for pigmented skin lesions. Computerized Medical Imaging and Graphics 27, 65-78 (2003)
16. Vedaldi, A., Fulkerson, B.: Vlfeat: An open and portable library of computer vision algorithms (2008), http://www.vlfeat.org/
17. Vedaldi, A., Gulshan, V., Varma, M., Zisserman, A.: Multiple kernels for object detection. In: Proceedings of the International Conference on Computer Vision (ICCV) (2009)