Computer‐Assisted Detection and Diagnosis

Nishikawa, Robert M.

doi:10.1002/0471732877.emd310

Encyclopedia of Medical Devices and Instrumentation 2006

DOI: 10.1002/0471732877.emd310

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Computer‐Assisted Detection and Diagnosis

Robert M. Nishikawa

Abstract: Figure 8. (a) A portion of a digitized mammogram. The arrow indicates the location of a cluster of calcifications. (b) An enlargement of the area containing calcifications.

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2023

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References 127 publications

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An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images

Catal Reis,

Bayram

2023

Ing. Inv.

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Image processing techniques are applied in many fields of science. This study aims to detect tumors in the foot and create 3D models via computed tomography (CT), as well as to produce biometric data. 1 039 CT images were obtained from a server. The parameters used were a collimation of 64 detectors, a scanning thickness of 0,5-3 mm, and a pixel size of 512 x 512, with a radiometric resolution of the 16-bit gray levels. Noise reduction, segmentation, and morphological analysis were performed on CT scans to detect bone tumors. In addition, this study used digital image processing techniques to create a virtual three-dimensional (3D) model of bone tumors. The performance of our proposal was evaluated by analyzing the receptor operating characteristics (ROC). According to the results, the sensitivity, specificity, and precision in tumor detection were 0,96, 1, and 0,98%, respectively, with a 0,99% average F-measure. Radiologist reports were used for the sake of comparison. The proposed technique for detecting bone tumors of the foot via CT can help radiologists with its increased precision, sensitivity, specificity, and F-measure. This method could improve the diagnosis of foot and ankle tumors by allowing for the multidirectional quantification of abnormalities.

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An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images

Catal Reis,

Bayram

2023

Ing. Inv.

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Computer‐Assisted Detection and Diagnosis

Abstract: Figure 8. (a) A portion of a digitized mammogram. The arrow indicates the location of a cluster of calcifications. (b) An enlargement of the area containing calcifications.

Cited by 1 publication

References 127 publications

An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images

An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images

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