Title :
Uncertainty propagation for the assessment of tumoral masses segmentation
Author :
Mencattini, Arianna ; Rabottino, Giulia ; Salmeri, Marcello ; Salicone, Simona
Author_Institution :
Dept. Electron. Eng., Univ. of Rome "Tor Vergata", Rome, Italy
Abstract :
In this paper, we perform the assessment of a tumoral mass segmentation and characterization algorithm by implementing the uncertainty propagation through the blocks. We use a Monte Carlo method owing to the iterative and very complex structure of the algorithms used. The validation of the results is based on confidence intervals for given coverage probabilities and ad hoc performance metrics.
Keywords :
Monte Carlo methods; cancer; tumours; Monte Carlo method; ad hoc performance metrics; confidence intervals; tumoral masses segmentation; uncertainty propagation; Breast cancer; Breast neoplasms; Error correction; Feature extraction; Image segmentation; Iterative algorithms; Iterative methods; Lesions; Measurement uncertainty; Shape;
Conference_Titel :
Advanced Methods for Uncertainty Estimation in Measurement, 2009. AMUEM 2009. IEEE International Workshop on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-3593-7
Electronic_ISBN :
978-1-4244-3593-7
DOI :
10.1109/AMUEM.2009.5207603
