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Digitization of Medicine

King C. Li, Peter Marcovici, Andrew Phelps, Christopher Potter, Allison Tillack, Jennifer Tomich, Srini Tridandapani
2013 Academic Radiology  
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

San-Kan Lee, Chien-Shun Lo, Chuin-Mu Wang, Pau-Choo Chung, Chein-I Chang, Ching-Wen Yang, Pi-Chang Hsu
2000 International Journal of Medical Informatics  
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]

Harris Georgiou
2009 arXiv   pre-print
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

Katherine P. Andriole, Jeremy M. Wolfe, Ramin Khorasani, S. Ted Treves, David J. Getty, Francine L. Jacobson, Michael L. Steigner, John J. Pan, Arkadiusz Sitek, Steven E. Seltzer
2011 Radiology  
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

Souad Demigha, Colette Rolland, H. K. Huang, Osman M. Ratib
2003 Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation  
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

Petra Welter, Thomas M Deserno, Benedikt Fischer, Rolf W Günther, Cord Spreckelsen
2011 BMC Medical Informatics and Decision Making  
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

Amin Valizadeh, Morteza Shariatee, Suresh Manic
2021 Computational Intelligence and Neuroscience  
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  
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  
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  
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  
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  
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  
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]

Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Kostas Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou (+4 others)
2021 arXiv   pre-print
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

Dur-E-Maknoon Nisar, Rashid Amin, Noor-Ul-Huda Shah, Mohammed A. Al Ghamdi, Sultan H. Almotiri, Meshrif Alruily
2021 IEEE Access  
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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