MammoApplet: An interactive Java applet tool for manual annotation in medical imaging

Mata, Christian; Oliver, Arnau; Torrent, Albert; Martı́, Joan

doi:10.1109/bibe.2012.6399703

Cited by 10 publications

(9 citation statements)

References 9 publications

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“…Mata [10] showed a Web application named MammoApplet to be used as telemedicine tool, with the aim of facilitating the diagnosis through a set of tools processing and image analysis, and to allow to annotations of suspicious regions in a database.…”

Section: Related Workmentioning

confidence: 99%

A telediagnostic system for automatic detection of lesions in digital mammograms

Silva

Barros

Santana

2014

5th ISSNIP-IEEE Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC)

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Breast cancer is the second type of cancer that affects women in the world, losing only for non melanoma skin cancer. The mammography is the most accurate exam for the diagnostic of this disease, allowing to discovery in its initial stage and increasing the chance of prompt treatment. This paper presents the modeling and implementation of Web based telediagnostic system for automated detection and register of lesions in mammographic images, based on Independent Component Analysis (ICA) and Support Vector Machine (SVM). The system analyses digital mammography images submited for Internet providing an image diagnosis and indicating the presence of suspicious regions, which can be evaluated and treated by an specialist. Also presents the methodology for development of proposed system. A system's prototype was developed to run tests that could measure its efficiency. Mini-MIAS was the training database used to test the algorithms. We also used SMV to classify image interest regions as normal or suspicious. Test results showed that 89.13% of normal samples were correctly classified and 92.17% of suspicious samples were also classified apropiately. We note that the proposed method provides support to detect suspicious regions in mammography images, incorporated in a automated CAD system.

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Section: Related Workmentioning

confidence: 99%

A telediagnostic system for automatic detection of lesions in digital mammograms

Silva

Barros

Santana

2014

5th ISSNIP-IEEE Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC)

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“…Notice that the necessity to store additional information related to the images stored in a PACS systems has becoming crucial, and new applications are appearing in this direction. An example of this is proposed by Mata et al [15,16], who store in XML files the analysis of the images provided by different experts. The files are kept in a external database that manage the files, thus preserving the information integrity of DICOM images.…”

Section: Exchange Of Informationmentioning

confidence: 99%

“…On the other hand, Mata et al [15,16] proposed an interactive Java applet interface designed as a web-based tool. It aimed to facilitate the diagnosis of mammographic and prostate cases by providing a set of image processing tools 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 that allowed a better visualization of the images and a set of drawing tools used to annotate the suspicious regions.…”

Section: Web-based Applications Examplesmentioning

confidence: 99%

On the Use of XML in Medical Imaging Web-Based Applications

Mata

Oliver

Lalande

et al. 2017

IRBM

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The rapid growth of digital technology in medical fields over recent years has increased the need for applications able to manage patient medical records, imaging data, and chart information. Web-based applications are implemented with the purpose to link digital databases, storage and transmission protocols, management of large volumes of data and security concepts, allowing the possibility to read, analyze, and even diagnose remotely from the medical center where the information was acquired. The objective of this paper is to analyze the use of the XML protocol in web-based medical imaging applications, analyzing how this protocol allows indexing and exchanging the huge amount of information associated with each medical case. The purpose of this paper is to point out the main advantages and drawbacks of the XML technology in order to provide key ideas for future web-based applications. As already explained by the email of Dr. Alain Lalande, in this paper we review the advances that the XML exchanging information protocol has provided to web-based applications applied to the medical imaging field.As suggested, we've checked the associated editors list and we think that either Alfredo Hernandez or Frederique Frouin could manage the current submission.All authors have checked the manuscript and have agreed to the submission. We have no conflict of interest. We think the research topic the paper is dealing with perfectly fits the scope of the journal. Acknowledgements:This work was partially funded by the Spanish R+D+I grant n. TIN2012-37171-C02-01. C. Mata holds a Mediterranean Office for Youth mobility grant. Finally, the Regional Council of Burgundy under the PARI 1 scheme sponsored this work. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 On the use of XML in medical imaging web-based applications Title/Authors/Affiliations AbstractThe rapid growth of digital technology in medical fields over recent years has increased the need for applications able to manage patient medical records, imaging data, and chart information. Web-based applications are implemented with the purpose to link digital databases, storage and transmission protocols, management of large volumes of data and security concepts, allowing the possibility to read, analyze, and even diagnose remotely from the medical center where the information was acquired. The objective of this paper is to analyze the use of the XML protocol in webbased medical imaging applications, analyzing how this protocol allows indexing and exchanging the huge amount of information associated with each medical case. The purpose of this paper is to point out the main advantages and drawbacks of the XML technology in order to provide key ideas for future web-based applications.

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“…Several tools have been developed for the manual and semi-automatic segmentation of anatomical structures and annotation of pathologies present in medical imaging [3,4,10,12,14]. The implemented segmentation methods range from simple manual outlining in 2D cross sections to more elaborated solutions, like deformable registration that finds spatial correspondences between 3D images and a labelled atlas [12].…”

Section: D Annotation Softwarementioning

confidence: 99%

“…Six frameworks with no license fees: GeoS [4], ITK-SNAP [14], ImageJ, MeVisLab, MITK and 3D Slicer [11], were included in the study. Some Web-based applications with annotation functionality available such as [10] are limited to a specific application or image analysis type, making them unfit to be used for the VISCERAL project multistructure annotation task. Other available frameworks such as SciRun, 1 Osirix 2 and Volview 3 were also reviewed but were discarded early in the selection process.…”

Section: Reviewed Annotation Toolsmentioning

confidence: 99%

Annotating Medical Image Data

Grünberg

Jiménez–del–Toro

Jakab

et al. 2017

Cloud-Based Benchmarking of Medical Image Analysis

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This chapter describes the annotation of the medical image data that were used in the VISCERAL project. Annotation of regions in the 3D images is nontrivial, and tools need to be chosen to limit the manual work and have semi-automated annotation available. For this, several tools that were available free of charge or with limited costs were tested and compared. The GeoS tool was finally chosen for the annotation based on the detailed analysis, allowing for efficient and effective annotations. 3D slice was chosen for smaller structures with low contrast to complement the annotations. A detailed quality control was also installed, including an automatic tool that attributes organs to annotate and volumes to specific annotators, and then compares results. This allowed to judge the confidence in specific annotators and also to iteratively refine the annotation instructions to limit the subjectivity of the task as much as possible. For several structures, some subjectivity remains and this was measured via double annotations of the structure. This allows the judgement of the quality of automatic segmentations.

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MammoApplet: An interactive Java applet tool for manual annotation in medical imaging

Cited by 10 publications

References 9 publications

A telediagnostic system for automatic detection of lesions in digital mammograms

A telediagnostic system for automatic detection of lesions in digital mammograms

On the Use of XML in Medical Imaging Web-Based Applications

Annotating Medical Image Data

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