A computer-aided diagnostic system to characterize CT focal liver lesions design and optimization of a neural network classifier.

In this paper, a computer-aided diagnostic (CAD) system for the classification of hepatic lesions from computed tomography (CT) images is presented. Regions of interest (ROIs) taken from nonenhanced CT images of normal liver, hepatic cysts, hemangiomas, and hepatocellular carcinomas have been used a...

Szczegółowa specyfikacja

Opis bibliograficzny
Wydane w:	IEEE Transactions on information technology in biomedicine 7, 3 (2003).
1. autor:	Gletsos, M.
Format:	Artykuł
Język:	English
Hasła przedmiotowe:	CT focal liver lesions. Carcinomas. Computed tomography. Computer-aided diagnostic system. Feature extraction. Feature selection. Feature vectors. Feedforward neural networks. Genetic algorithm. Hepatic lesion classification. Liver. Neural network classifier optimization. Regions of interest. Sequential floating forward selection. Sequential forward selection. Spatial gray-level co-occurrence matrices.