Problem statement : In this article the principles of building knowledge and retrieval information system will be applied to medical images in some studied hospital. Since there is a huge number of medical images this system will organizes and manages the operation of retrieving and displaying such images to the persons who need such images in short time and in high quality services. Approach : From relevance assessments we can compute measures of retrieval performance such as: Recall (R), discrimination DC, and Precision. Results: both recall and precision of the system are linearly depend on relevant items correctly retrieved. Conclusion : Number of retrieved images from huge total number of medical images in some hospital determine the s...
89 p.Retrieving images from a large collection of a variety of general images is a challenging probl...
Broadspread use of medical imaging devices with digital storage has paved the way for curation of su...
Abstract: Problem statement: Recently, there has been a huge progress in collection of varied image ...
PURPOSE: This article reports the user-oriented evaluation of a text- and content-based medical imag...
Objective: Develop and analyze results from an image retrieval test collection. Methods: After parti...
Medical image retrieval and classification have been extremely active research topics over the past ...
Medical image retrieval and classification have been extremely active research topics over the past ...
Abstract. Medical visual information retrieval has been a very active research area over the past te...
In this paper, we propose an integrated approach for medical image retrieval. In particular, we pres...
Abstract — Content-based visual information retrieval (CBVIR) or Content-based image retrieval (CBIR...
Medical-image-based diagnosis is a tedious task‚ and small lesions in various medical images c...
We present a probabilistic approach to the medical retrieval task. We experimented with the Westerve...
Evaluation is crucial for the success of most research domains, and image retrieval is no exception ...
BACKGROUND: The first step to properly designing image retrieval systems with the aim of meeting the...
Abstract. Evaluation is crucial for the success of most research domains, and image retrieval is no ...
89 p.Retrieving images from a large collection of a variety of general images is a challenging probl...
Broadspread use of medical imaging devices with digital storage has paved the way for curation of su...
Abstract: Problem statement: Recently, there has been a huge progress in collection of varied image ...
PURPOSE: This article reports the user-oriented evaluation of a text- and content-based medical imag...
Objective: Develop and analyze results from an image retrieval test collection. Methods: After parti...
Medical image retrieval and classification have been extremely active research topics over the past ...
Medical image retrieval and classification have been extremely active research topics over the past ...
Abstract. Medical visual information retrieval has been a very active research area over the past te...
In this paper, we propose an integrated approach for medical image retrieval. In particular, we pres...
Abstract — Content-based visual information retrieval (CBVIR) or Content-based image retrieval (CBIR...
Medical-image-based diagnosis is a tedious task‚ and small lesions in various medical images c...
We present a probabilistic approach to the medical retrieval task. We experimented with the Westerve...
Evaluation is crucial for the success of most research domains, and image retrieval is no exception ...
BACKGROUND: The first step to properly designing image retrieval systems with the aim of meeting the...
Abstract. Evaluation is crucial for the success of most research domains, and image retrieval is no ...
89 p.Retrieving images from a large collection of a variety of general images is a challenging probl...
Broadspread use of medical imaging devices with digital storage has paved the way for curation of su...
Abstract: Problem statement: Recently, there has been a huge progress in collection of varied image ...