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Digitization of Medicine
2013
Academic Radiology
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This review article is a summary of the research of the task force and hopefully can be used as a stimulus for further discussions and development of action plans by radiology leaders. ...
In the era of medical cost containment, radiologists must continually maintain their actual and perceived value to patients, payers, and referring providers. ...
The KDDs, as described by Reiner, are a network of databases composed of supportive information that allow for patient-specific analysis of the reported radiographic findings. ...
doi:10.1016/j.acra.2013.09.008
pmid:24200474
fatcat:aokbwzizcnfcdg2h2p6ek2wxtu
A computer-aided design mammography screening system for detection and classification of microcalcifications
2000
International Journal of Medical Informatics
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This paper presents a prototype of a computer-aided design (CAD) diagnostic system for mammography screening to automatically detect and classify microcalcifications (MCCs) in mammograms. ...
It begins with a large window of size 64 × 64 to quickly screen mammograms to find large calcified areas, this is followed by a smaller window of size 8 ×8 to extract tiny, isolated microcalcifications ...
Centre for Breast Cancer Screening and the Department of Radiology at the University of Nijmegen, Netherlands for providing the Nijmegen mammogram database. ...
doi:10.1016/s1386-5056(00)00067-8
pmid:10974640
fatcat:734abl7cffhyzhrqnc7pvgx3pa
Algorithms for Image Analysis and Combination of Pattern Classifiers with Application to Medical Diagnosis
[article]
2009
arXiv
pre-print
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levels of a modern system for computer-aided diagnosis (CAD). ...
This thesis addresses a variety of issues related to the general problem of medical image analysis, specifically in mammography, and presents a series of algorithms and design approaches for all the intermediate ...
In order to develop a control system the images in the developed database were evaluated by 2 or 3 radiologists. ...
arXiv:0910.3348v1
fatcat:jefigxi7zvgchkzobdgqthxvqy
Optimizing Analysis, Visualization, and Navigation of Large Image Data Sets: One 5000-Section CT Scan Can Ruin Your Whole Day
2011
Radiology
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a more efficient and effective work environment for radiologists. ...
This may require a paradigm shift in the radiologic interpretation process. As human observers, radiologists must search for, detect, and interpret targets. ...
In the lung nodule case, a spherical nodule looks similar to a tubular vessel in cross section ( Fig 2 ) . ...
doi:10.1148/radiol.11091276
pmid:21502391
pmcid:PMC6939959
fatcat:4hw2qwuoqngtxormk3ejuzrcwu
Training-aided system in senology: methodologies and techniques
2003
Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation
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The aim of such a system is to help breast cancer screening in education. This system will help assist junior radiologists in routine clinical use. ...
To be compliant with commercial systems for digital and CAD mammograms, terminological systems used by the TSDS to describe and index data must be based on DICOM and BI-RADS dictionaries. ...
To be compliant with commercial systems for digital mammography and CAD mammography, terminological systems used by the TSDS to describe and index data must be based on DICOM and BI-RADS dictionaries. ...
doi:10.1117/12.480460
fatcat:lwym3maxu5fslpoy5xgdqi22be
Towards case-based medical learning in radiological decision making using content-based image retrieval
2011
BMC Medical Informatics and Decision Making
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Furthermore, we present a case description and a scheme of planned evaluations to comprehensively assess the system. ...
To overcome the known drawbacks of existing learning systems, we developed the concept of image-based case retrieval for radiological education (IBCR-RE). ...
Acknowledgements This research was partly funded by the German Research Foundation (DFG), Le 1108/9. ...
doi:10.1186/1472-6947-11-68
pmid:22032775
pmcid:PMC3217894
fatcat:xt6e2bzelvfqdgvpi5b465bdga
The Progress of Medical Image Semantic Segmentation Methods for Application in COVID-19 Detection
2021
Computational Intelligence and Neuroscience
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Finally, a general conclusion on the use of developed advances based on deep neural network concepts in semantic segmentation is presented. ...
In this study, the method of semantic segmenting images is split into two sections: the method of the deep neural network and previous traditional method. ...
Acknowledgments e funding sources had no involvement support in the study design, collection, analysis, or interpretation of data, in writing of the manuscript, or in the decision to submit the manuscript ...
doi:10.1155/2021/7265644
pmid:34840563
pmcid:PMC8611358
fatcat:6xsjrgiabjat5c6uinwa2kbyay
CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition Munich, Germany, June 21–25, 2021
2021
International Journal of Computer Assisted Radiology and Surgery
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References ...
Acknowledgements This work has been funded by the research project PI18/00169 from Instituto de Salud Carlos III & FEDER funds. ...
Besides, the CAD system might detect some missed finding by humans and reduce the reader-dependent problem between radiologists. ...
doi:10.1007/s11548-021-02375-4
pmid:34085172
fatcat:6d564hsv2fbybkhw4wvc7uuxcy
ECR 2011 Book of Abstracts - A - Postgraduate Educational Programme
2011
Insights into Imaging
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digital image and radiology informatics system (RIS) databases via secure virtual private networks (VPN). ...
be used in case a Ductal Carcinoma In Situ (DCIS) is suspected by imaging: automated core needle biopsy, vacuum assisted biopsy and radiofrequency assisted single large core. ...
Radiologists should always remind the importance of reporting on this finding, the importance of being clear while referring to a "fracture" and with no misleading terms. ...
doi:10.1007/s13244-011-0078-3
pmid:23100070
pmcid:PMC3533621
fatcat:qa3ln4hhvve2hhumgwwnmykgoe
ECR 2015 Book of Abstracts - A - Postgraduate Educational Programme
2015
Insights into Imaging
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digital image and radiology informatics system (RIS) databases via secure virtual private networks (VPN). ...
be used in case a Ductal Carcinoma In Situ (DCIS) is suspected by imaging: automated core needle biopsy, vacuum assisted biopsy and radiofrequency assisted single large core. ...
Radiologists should always remind the importance of reporting on this finding, the importance of being clear while referring to a "fracture" and with no misleading terms. ...
doi:10.1007/s13244-015-0386-0
pmid:25708993
pmcid:PMC4349897
fatcat:m7eyvqcwojfpvf3lr5hy6dwjb4
ECR 2016 Book of Abstracts - A - Postgraduate Educational Programme
2016
Insights into Imaging
Preserved Fulltext
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digital image and radiology informatics system (RIS) databases via secure virtual private networks (VPN). ...
be used in case a Ductal Carcinoma In Situ (DCIS) is suspected by imaging: automated core needle biopsy, vacuum assisted biopsy and radiofrequency assisted single large core. ...
Radiologists should always remind the importance of reporting on this finding, the importance of being clear while referring to a "fracture" and with no misleading terms. ...
doi:10.1007/s13244-016-0474-9
pmid:26873353
pmcid:PMC4762839
fatcat:itxslbcacjhh3kixfkcwmdbt44
ECR 2013 Book of Abstracts - A - Postgraduate Educational Programme
2013
Insights into Imaging
Preserved Fulltext
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digital image and radiology informatics system (RIS) databases via secure virtual private networks (VPN). ...
be used in case a Ductal Carcinoma In Situ (DCIS) is suspected by imaging: automated core needle biopsy, vacuum assisted biopsy and radiofrequency assisted single large core. ...
Radiologists should always remind the importance of reporting on this finding, the importance of being clear while referring to a "fracture" and with no misleading terms. ...
doi:10.1007/s13244-013-0227-y
pmid:23468009
pmcid:PMC3666656
fatcat:yitsk227mba2pl7wcypouf6tz4
ECR 2012 Book of Abstracts - A - Postergraduate Educational Programme
2012
Insights into Imaging
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Now it is our turn as diagnostic radiologists to choose the appropriate imaging modality as we have a whole toolbox instead of just holding a hammer. ...
In the third step images have to be interpreted and correlated with the clinical findings. ...
Computer-assisted detection (CAD) software can improve sensitivity but may be limited by false-positive findings. ...
doi:10.1007/s13244-012-0153-4
pmid:22696127
pmcid:PMC3481066
fatcat:te6ctbtakzh5njsw43geghw3ta
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
[article]
2021
arXiv
pre-print
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The recent advancements in artificial intelligence (AI) combined with the extensive amount of data generated by today's clinical systems, has led to the development of imaging AI solutions across the whole ...
In a step-by-step approach, these guidelines are further translated into a framework of concrete recommendations for specifying, developing, evaluating, and deploying technically, clinically and ethically ...
Qualitative biases affecting fairness may consist in cognitive biases of clinicians generating, interpreting or annotating the imaging data: A study on mammography screening, for example, has shown that ...
arXiv:2109.09658v3
fatcat:w3xv64aiobe55d3nrsfb7whqsa
Healthcare Techniques Through Deep Learning: Issues, Challenges and Opportunities
2021
IEEE Access
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Computer-aided designs (CAD) systems are categorized for diseases specific to the three systems of the human body. ...
To find the early stage of syndromic surveillance for asthma or difficulty breathing [44] Elsevier DNN, CNN, and CAD Accuracy = 98% To determine whether objective examinations with typical asthma symptoms ...
doi:10.1109/access.2021.3095312
fatcat:3ddvsz5eozav7opv6vvanohcs4
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