Morphometric information to reduce the semantic gap in the characterization of microscopic images of thyroid nodules.

BACKGROUND: The analyses of several systems for medical-imaging processing typically support the extraction of image attributes, but do not comprise some information that characterizes images. For example, morphometry can be applied to find new information about the visual content of an image. The extension of information may result in knowledge. Subsequently, results of mappings can be applied to recognize exam patterns, thus improving the accuracy of image retrieval and allowing a better interpretation of exam results. Although successfully applied in breast lesion images, the morphometric approach is still poorly explored in thyroid lesions due to the high subjectivity thyroid examinations. OBJECTIVE: This paper presents a theoretical-practical study, considering Computer Aided Diagnosis (CAD) and Morphometry, to reduce the semantic discontinuity between medical image features and human interpretation of image content. METHOD: The proposed method aggregates the content of microscopic images characterized by morphometric information and other image attributes extracted by traditional object extraction algorithms. This method carries out segmentation, feature extraction, image labeling and classification. Morphometric analysis was included as an object extraction method in order to verify the improvement of its accuracy for automatic classification of microscopic images. RESULTS: To validate this proposal and verify the utility of morphometric information to characterize thyroid images, a CAD system was created to classify real thyroid image-exams into Papillary Cancer, Goiter and Non-Cancer. Results showed that morphometric information can improve the accuracy and precision of image retrieval and the interpretation of results in computer-aided diagnosis. For example, in the scenario where all the extractors are combined with the morphometric information, the CAD system had its best performance (70% of precision in Papillary cases). CONCLUSION: Results signalized a positive use of morphometric information from images to reduce semantic discontinuity between human interpretation and image characterization.

Laf 1. 0: implantação de um sistema informatizado para laboratórios de antropologia forense / Laf 1. 0: establishment of a computerized system for laboratories of forensic anthropology

Desenvolvimento de um software para cadastro e recuperação de informações em Antropologia Forense baseado no protocolo desenvolvido durante o projeto “UK –Brazil Scientific Cooperation – Forensic Anthropology and Identification of Human Remains”. Metodologia: Por se tratar de um aplicativo acessado via Browser (software que permite o acesso à Internet, como o Microsoft Internet Explorer®) foi necessária a escolha de uma linguagem de programação que se enquadrasse nesse requisito juntamente com uma aplicação servidora. A linguagem escolhida foi PHP® e a aplicação servidora foi o Apache®. Para o armazenamento dos dados foi escolhido o Sistema Gerenciador de Banco de Dados MySQL®...

A Software development for registration and recovery of information on Objective: A Software development for registration and recovery of information on Forensic Anthropology, based on the protocol developed during the project “UK – Brazil Scientific Cooperation – Forensic Anthropology and Identification of Human Remains”. Methods: Considering it is a Browser accessed application (software that allows Internet access, as Microsoft Internet Explorer®), it was necessary to choose an adequate programming language to this requirement as the server application. The chosen language was PHP® and the server application was Apache®. For data storage it was chosen the Data Bank Managing System MySQL®. Forensic Anthropology, based on the protocol developed during the project “UK – Brazil ScientificCooperation – Forensic Anthropology and Identification of Human Remains”. Methods: Considering it is a Browser accessed application (software that allows Internet access, as Microsoft InternetExplorer®), it was necessary to choose an adequate programming language to this requirement as the server application. The chosen language was PHP® and the server application was Apache®. For data storage it was chosen the Data Bank Managing System MySQL®...

Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses.

This paper presents the use of relevance feedback (RFb) to reduce the semantic gap in content-based image retrieval (CBIR) of mammographic masses. Tests were conducted where the radiologists' classification of the lesions based on the BI-RADS categories were used with techniques of query-point movement to incorporate RFb. The measures of similarity of images used for CBIR were based upon Zernike moments. The performance of CBIR was measured in terms of precision and recall of retrieval. The results indicate improvement due to RFb of up to 41.6% in precision. In our experiments, the gain in the performance of CBIR with RFb was associated with the BI-RADS category of the query mammographic image, with large improvement in cases of lesions belonging to categories 4 and 5. The proposed method could find applications in computer-aided diagnosis (CAD) of breast cancer.