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This papers reports on methodologies and outcome of a study aiming at developing robust tool to evaluate and classify histology images of cervical cancer. Using the histology images acquired from the pathology laboratories in an Indonesian hospital, this study aims to classify cervical biopsy images based on four well known discriminatory features a) the ratio of nuclei to cytoplasm b) diameter of...
Breast cancer is the second leading cause of cancer deaths among women and micro calcifications clusters are one of the most important indicators of breast disease. A Computer-Aided Diagnosis algorithm has been developed to assist radiologists in the diagnosis of mammographic clusters. Classification performance was evaluated with the diagnosis algorithm, and the final result looks great.
This paper present an automatic extraction algorithm of the pulmonary major and minor fissures from three-dimensional (3-D) chest thin-section computed tomography (CT) images of helical CT. These fissures are used for the diagnosis of lung cancer and the analysis of pulmonary conformation. The proposed algorithm improves on the previous extraction method using the surface-curvatures calculation for...
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