Classification of hepatic lesions from CT images using texture features and neural networks
M Gletsos, SG Mougiakakou… - … proceedings of the …, 2001 - ieeexplore.ieee.org
In this paper a computer-aided diagnostic system for the classification of hepatic lesions
from Computed Tomography (CT) images is presented. Regions of Interest (ROI's) taken …
from Computed Tomography (CT) images is presented. Regions of Interest (ROI's) taken …
A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier
M Gletsos, SG Mougiakakou… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
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) …
lesions from computed tomography (CT) images is presented. Regions of interest (ROIs) …
Computer aided diagnosis of CT focal liver lesions by an ensemble of neural network and statistical classifiers
I Valavanis, SG Mougiakakou… - … Joint Conference on …, 2004 - ieeexplore.ieee.org
A computer aided diagnosis (CAD) system for the characterization of hepatic tissue from
computed tomography (CT) images is presented. Regions of interest (ROI's) corresponding …
computed tomography (CT) images is presented. Regions of interest (ROI's) corresponding …
Characterization of CT liver lesions based on texture features and a multiple neural network classification scheme
In this paper, a Computer Aided Diagnosis (CAD) system for the characterization of hepatic
tissue from Computed Tomography (CT) images is presented. Regions of Interest (ROI's) …
tissue from Computed Tomography (CT) images is presented. Regions of Interest (ROI's) …
Evaluation of texture features in hepatic tissue characterization from non-enhanced CT images
IK Valavanis, SG Mougiakakou… - 2007 29th Annual …, 2007 - ieeexplore.ieee.org
Aim of this paper is to evaluate the diagnostic contribution of various types of texture features
in discrimination of hepatic tissue in abdominal non-enhanced computed tomography (CT) …
in discrimination of hepatic tissue in abdominal non-enhanced computed tomography (CT) …
Computer aided diagnosis based on medical image processing and artificial intelligence methods
Advances in imaging technology and computer science have greatly enhanced
interpretation of medical images, and contributed to early diagnosis. The typical architecture …
interpretation of medical images, and contributed to early diagnosis. The typical architecture …
Use of neural networks for feature based recognition of liver region on CT images
SA Husain, E Shigeru - … for Signal Processing X. Proceedings of …, 2000 - ieeexplore.ieee.org
Medical diagnostic support systems are gaining popularity due to easy access of computers
in this field and the increasing workload of radiologists. The automatic processing of X-ray …
in this field and the increasing workload of radiologists. The automatic processing of X-ray …
Automatic liver diseases diagnosis for CT images using kernel-based classifiers
CC Lee, SH Chen, YC Chiang - 2006 World Automation …, 2006 - ieeexplore.ieee.org
In this paper, a kernel-based classifier for automatic liver diseases diagnosis of CT images is
introduced. Three kinds of liver diseases are identified including cyst, hepatoma and …
introduced. Three kinds of liver diseases are identified including cyst, hepatoma and …
Key techniques research in computer-aided hepatic lesion diagnosis system based on multi-phase CT images
S Su, Y Sun - 2011 4th International Congress on Image and …, 2011 - ieeexplore.ieee.org
Computer-aided diagnosis (CAD) of liver diseases as an early non-invasive diagnosis is of
great significance. This paper presents an automated diagnostic system for liver disease …
great significance. This paper presents an automated diagnostic system for liver disease …
Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers
OBJECTIVES: The aim of the present study is to define an optimally performing computer-
aided diagnosis (CAD) architecture for the classification of liver tissue from non-enhanced …
aided diagnosis (CAD) architecture for the classification of liver tissue from non-enhanced …
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