Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/461428
Title: Automatic lesion/tumor detection using intelligent mesh-based active contour
Authors: Yin, Lijun;Deshpande, S;Chang, Ja Kwei
subject: CT;CT images;algorithm;automatic lesion/tumor detection;intelligent mesh;intelligent mesh-based active contour;lesion/tumor detection;mammography;mammography images;medical computing;medical image processing;medical imaging;mesh generation;mesh-based active contour;tumours
Year: 2003
Abstract: Automatic detection of the lesion/tumor region is always of interest in medical imaging system. We address this issue in this paper for improving the accuracy and robustness as compared to the conventional methods. Active contour has been commonly used for the detection of irregular shape of region, however, it suffers the problem of the false attraction given the noisy image, and requires the correct estimation of the initial location of the object to be detected. In this paper, we present a novel method for robustly locating the object area by using a so-called intelligent mesh. With the accurate location and shape approximation in the initial stage, the object of interest is correctly detected by using a mesh-based active contour model. The correctness and robustness of the proposed algorithm are demonstrated on extracting the lesion/tumor regions of CT and Mammography images as an intensive test.
Description: 


URI: http://localhost/handle/Hannan/355642
http://localhost/handle/Hannan/461428
Appears in Collections:2002-2008

Files in This Item:
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AL558745.pdf413.69 kBAdobe PDF
Title: Automatic lesion/tumor detection using intelligent mesh-based active contour
Authors: Yin, Lijun;Deshpande, S;Chang, Ja Kwei
subject: CT;CT images;algorithm;automatic lesion/tumor detection;intelligent mesh;intelligent mesh-based active contour;lesion/tumor detection;mammography;mammography images;medical computing;medical image processing;medical imaging;mesh generation;mesh-based active contour;tumours
Year: 2003
Abstract: Automatic detection of the lesion/tumor region is always of interest in medical imaging system. We address this issue in this paper for improving the accuracy and robustness as compared to the conventional methods. Active contour has been commonly used for the detection of irregular shape of region, however, it suffers the problem of the false attraction given the noisy image, and requires the correct estimation of the initial location of the object to be detected. In this paper, we present a novel method for robustly locating the object area by using a so-called intelligent mesh. With the accurate location and shape approximation in the initial stage, the object of interest is correctly detected by using a mesh-based active contour model. The correctness and robustness of the proposed algorithm are demonstrated on extracting the lesion/tumor regions of CT and Mammography images as an intensive test.
Description: 


URI: http://localhost/handle/Hannan/355642
http://localhost/handle/Hannan/461428
Appears in Collections:2002-2008

Files in This Item:
File SizeFormat 
AL558745.pdf413.69 kBAdobe PDF
Title: Automatic lesion/tumor detection using intelligent mesh-based active contour
Authors: Yin, Lijun;Deshpande, S;Chang, Ja Kwei
subject: CT;CT images;algorithm;automatic lesion/tumor detection;intelligent mesh;intelligent mesh-based active contour;lesion/tumor detection;mammography;mammography images;medical computing;medical image processing;medical imaging;mesh generation;mesh-based active contour;tumours
Year: 2003
Abstract: Automatic detection of the lesion/tumor region is always of interest in medical imaging system. We address this issue in this paper for improving the accuracy and robustness as compared to the conventional methods. Active contour has been commonly used for the detection of irregular shape of region, however, it suffers the problem of the false attraction given the noisy image, and requires the correct estimation of the initial location of the object to be detected. In this paper, we present a novel method for robustly locating the object area by using a so-called intelligent mesh. With the accurate location and shape approximation in the initial stage, the object of interest is correctly detected by using a mesh-based active contour model. The correctness and robustness of the proposed algorithm are demonstrated on extracting the lesion/tumor regions of CT and Mammography images as an intensive test.
Description: 


URI: http://localhost/handle/Hannan/355642
http://localhost/handle/Hannan/461428
Appears in Collections:2002-2008

Files in This Item:
File SizeFormat 
AL558745.pdf413.69 kBAdobe PDF