Implementation and evaluation of a medical image management system with content-based retrieval support
نویسندگان
چکیده
* Trabalho realizado na Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRPUSP), Ribeirão Preto, SP, Brasil. 1. Doutor, Docente do Centro de Ciências Exatas, Naturais e Tecnológicas da Universidade de Ribeirão Preto (Unaerp), Ribeirão Preto, SP, Brasil. 2. Doutor, Docente do Instituto de Engenharia de Sistemas e Tecnologias da Informação (IESTI) da Universidade Federal de Itajubá (Unifei), Itajubá, MG, Brasil. 3. Doutor, Pós-Doutorando no Departamento de Neurologia – Subárea Biossinal e Tecnologia em Imagens – da FriedrichSchiller-Universität, Jena, Alemanha. 4. Doutor, Professor Associado do Centro de Ciências das Imagens e Física Médica do Departamento de Clínica Médica da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FMRPUSP), Ribeirão Preto, SP, Brasil. mento e visualização de dados na área de diagnóstico por imagem. Mais recentemente, devido ao grande aumento no volume de imagens gerado pelas técnicas disponíveis, o interesse na otimização dos processos de arquivamento e recuperação de informação tem-se firmado como um importante objeto de estudo na informática radiológica. Assim, enquanto o requisito clássico para um PACS seria a habilidade de visualizar imagens e informações clínicas relacionadas, um grande interesse em Caritá EC, Seraphim E, Honda MO, Azevedo-Marques PM. Implementação e avaliação de um sistema de gerenciamento de imagens médicas com suporte à recuperação baseada em conteúdo. Radiol Bras. 2008;41(5):331–336.
منابع مشابه
Performance Evaluation of Medical Image Retrieval Systems Based on a Systematic Review of the Current Literature
Background and Aim: Image, as a kind of information vehicle which can convey a large volume of information, is important especially in medicine field. Existence of different attributes of image features and various search algorithms in medical image retrieval systems and lack of an authority to evaluate the quality of retrieval systems, make a systematic review in medical image retrieval system...
متن کاملContent Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram
Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a database. In medical applications, CBIR is a tool used by physicians to compare the previous and current medical images associated with patients pathological conditions. As the volume of pictorial information stored in medical image databases is in progress, efficient image indexing and retri...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملSemiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملA Modified Grasshopper Optimization Algorithm Combined with CNN for Content Based Image Retrieval
Nowadays, with huge progress in digital imaging, new image processing methods are needed to manage digital images stored on disks. Image retrieval has been one of the most challengeable fields in digital image processing which means searching in a big database in order to represent similar images to the query image. Although many efficient researches have been performed for this topic so far, t...
متن کاملImage retrieval using the combination of text-based and content-based algorithms
Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008