A systematic review on content-based medical video retrieval

OBJETIVO: Identificar o estado da arte com relação à aplicação de recuperação de vídeos baseada em conteúdo no contexto de vídeos médicos. Nossa contribuição é fornecer uma visão geral sobre estudos anteriores, bem como vantagens e desafios a serem explorados no tema por pesquisadores da área de aplicações de informática em saúde. MÉTODOS: Nós conduzimos uma revisão sistemática nas principais bases de trabalhos científicos das áreas da computação e medicina. Depois de definir um protocolo, nós conduzimos uma busca por artigos e tecemos uma discussão crítica sobre os estudos encontrados. RESULTADOS: Os resultados mostraram que a aplicação do conceito de recuperação de vídeos baseada em conteúdo na área médica é recente e ainda pouco explorada. CONCLUSÕES: Nos trabalhos analisados, as aplicações de interesse consistem na identificação e descrição de estruturas representadas nos vídeos para posterior indexação e recuperação. Os objetivos mais comuns verificados são auxílio ao diagnóstico, análise de procedimentos e tomada de decisão.

OBJECTIVE: Identify the state of the art about the application of content-based video retrieval in the context ofmedical videos. Our contribution is to provide an overview of previous studies as well as advantages and challenges tobe explored on this subject to the researchers interested in the applied health informatics field. METHODS: We conducta systematic review in the main scientific databases of the computing and medical fields. After defining a protocol, we conducted a search and, then, a critical discussion about the studies. RESULTS: The results showed that the application of the concept of content-based video retrieval in the medical field is recent and has been little explored. CONCLUSIONS: Applications of interest in the analyzed works consist in the identification and description of structures depicted in thevideos for later indexing and retrieval. The most common goals are to aid diagnosis, procedures analysis, and decision making.

A systematic review on the evaluation and characteristics of computer-aided diagnosis systems

INTRODUCTION: One of the challenges in developing Computer-Aided Diagnosis (CAD) systems is their accurate and comprehensive assessment. This paper presents the conduction and results of a systematic review (SR) that aims to verify the state of the art regarding the assessment of CAD systems. This survey provides a general analysis of the current status of the design, development and assessment of such systems and includes discussions on the most used metrics and approaches that could be utilized to obtain more objective evaluation methods. METHODS: The SR was conducted using the scientific databases, ACM Digital Library, IEEE Xplore Digital Library, ScienceDirect and Web of Science. Inclusion and exclusion criteria were defined and applied to each retrieved work to select those of interest. From 156 studies retrieved, 100 studies were included. Results: There is a number of abnormalities that have been used for the development of CAD systems. Images from computed tomographies and mammographies are the most encountered types of medical images. Additionally, a number of studies used public databases for CAD evaluations. The main evaluation metrics and methods applied to CAD systems include sensitivity, accuracy, specificity and receiver operating characteristic (ROC) analyses. In the assessed CAD systems that used the segmentation method, 30.0% applied the overlap measure. DISCUSSION: There remain several topics to explore for the assessment of CAD schemes. While some evaluation metrics are traditionally used, they require a prior knowledge of case characteristics to test CAD systems. We were not able to identify articles that use software testing to evaluate CAD systems. Thus, we realize that there is a gap between CAD assessments and traditional practices of software engineering. However, the scope of this research is limited to scientific and academic works and excludes commercial interests. Finally, we discuss potential research studies within this scope to create a more objective and efficient evaluation of CAD systems.