Matehematic morphology approach for renal biopsy analysis

European Signal Processing Conference

Volumn 06-10-September-2004, Issue , 2015, Pages 2195-2198

  Marques, Ferran ^d   Cuberas, Gemma ^d   Gasull, Antoni ^a   Seron, Daniel ^d   Moreso, Francesc ^b   Joshi, Nayana ^c  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b HOSPITAL UNIVERSITARI DE BELLVITGE   (Spain)

^c HOSPITAL UNIVERSITARI VALL D HEBRON   (Spain)

^d NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIOPSY;

AUTOMATIC ALGORITHMS; CORTEX AREAS; INTERSTITIAL SPACE; MATHEMATIC MORPHOLOGIES; PARAMETERS CHARACTERIZING; TUBULE DISTRIBUTIONS;

SIGNAL PROCESSING;

EID: 84979943947     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. D. Seron et al., "Automated classification of renal interstitium and tubules by local texture analysis and a neural network". Analytical and Quantitative Cytology and Histology 1996; vol. 18:410-419.
2. M. Masseroli et al., "Design and validation of a new image analysis method for automatic quantification of interstitial fibrosis and glomerular morphometry". Laboratoty Investigation 1998; Vol. 78 :511-522.
3. F. Moreso et al., "Quantification of interstitial chronic renal damage by means of texture analysis", Kidney International, Vol. 46, pp. 1721-1727, 1994.
4. P. Soille, Morphological Image Analysis: Principles and Applications, Springer Verlag, June 1999.
5. S. Beucher and F. Meyer, "The Morphological approach of segmentation: the watershed transfonnation", In Dougherty E. (Editor), Mathematical Morphology in Image Processing, Marcel Dekker, New York, 1992.
6. A. Gasull et al., "Renal Interstitium and tubules detection using mathematic morphology tools", Submitted to BTOSIGNAL 2004, Brno, July 2004.