Tissue recognition for pressure ulcer evaluation

IFMBE Proceedings

Volumn 22, Issue , 2008, Pages 1524-1527

  Mesa, H ^a   Morente, L ^b   Veredas, Francisco J ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b Escuela Universitaria de Enfermería   (Spain)

Author keywords

Machine Vision; Medical Imaging; Neural Networks; Pattern Recognition; Tissue Classification

Indexed keywords

COLOR AND TEXTURE FEATURES; COMMITTEE MACHINES; COMPUTATIONAL SYSTEM; CRITICAL TASKS; CROSS-VALIDATION METHODS; GLOBAL SOLUTIONS; HIGH COSTS; LOCALIZED DAMAGE; MACHINE VISION; MEAN SHIFT; MULTI-LAYER PERCEPTRONS; PRESSURE ULCERS; REGION GROWING; REGION SEGMENTATION; SANITARY SYSTEMS; SEGMENTED REGIONS; TEXTURE PATTERNS; TISSUE CLASSIFICATION; TRAINING PROCEDURES; TWO STAGE; VISUAL INSPECTION;

COMPUTER VISION; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; TEXTURES; TISSUE;

MEDICAL IMAGING;

EID: 68749094805     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-89208-3_362     Document Type: Conference Paper

References (10)

1. Cula OG, Dana KJ, Murphy FP, & Rao BK (2005) Skin Texture Modeling. Int J Comput Vision 62:97-119.
2. Jones TD & Plassmann P (2000) An active contour model for measuring the area of leg ulcers. IEEE T Med Imaging 19:1202-1210.
3. Karkanis SA, Iakovidis DK, Maroulis DE, Karras DA & Tzivras M (2003) Computer-aided tumor detection in endoscopic video using color wavelet features. IEEE T Inf Technol B 7:141-152.
4. Kosmopoulos D & Tzevelekou F (2007) Automated Pressure Ulcer Lesion Diagnosis for Telemedicine Systems. IEEE Eng Med Biol 26:18-22.
5. Wannous H, Treuillet S & Lucas Y (2007) Supervised Tissue Classification from Color Images for a Complete Wound Assessment Tool. Proc. of the 29th Annual International Conference of the IEEE EMBS, pp 6031-6034.
6. Rubegni P, Burroni M, Cevenini G, Perotti R, Dell'Eva G, Barbini, P, et al. (2002) Digital Dermoscopy Analysis and Artificial Neural Network for the Differentiation of Clinically Atypical Pigmented Skin Lesions: A Retrospective Study. J Invest Dermatol 119:471-474.
7. Comaniciu D & Meer P (2002) Mean Shift: A Robust Approach Toward Feature Space Anaylsis. IEEE T Pattern Anal 24:603-619.
8. Gonzalez RC & Woods RE (2002) Digital image processing (Second ed.). Prentice Hall, New Jersey, USA.
9. Haykin S (1999) Neural networks a comprehesive foundation (Second ed.). Prentice Hall, New Jersey, USA.
10. Liu Y (2006) Create Stable Neural Networks by Cross-Validation. Proc. of the IEEE International Joint Conference on Neural Networks, IJCNN'06, pp 3925-3928.