Computer-Aided Diagnosis in Medical Imaging: Historical Review, Current Status and Future Potential
TLDR
The motivation and philosophy for early development of CAD schemes are presented together with the current status and future potential of CAD in a PACS environment.About:
This article is published in Computerized Medical Imaging and Graphics.The article was published on 2007-06-01 and is currently open access. It has received 1574 citations till now. The article focuses on the topics: Computer-aided diagnosis & CAD.read more
Citations
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Radiomics: Images Are More than Pictures, They Are Data.
TL;DR: This report describes the process of radiomics, its challenges, and its potential power to facilitate better clinical decision making, particularly in the care of patients with cancer.
Journal ArticleDOI
Histopathological Image Analysis: A Review
TL;DR: The recent state of the art CAD technology for digitized histopathology is reviewed and the development and application of novel image analysis technology for a few specific histopathological related problems being pursued in the United States and Europe are described.
Journal ArticleDOI
Large scale deep learning for computer aided detection of mammographic lesions
Thijs Kooi,Geert Litjens,Bram van Ginneken,Albert Gubern-Mérida,Clara I. Sánchez,Ritse M. Mann,Ard den Heeten,Nico Karssemeijer +7 more
TL;DR: A head‐to‐head comparison between a state‐of‐the art in mammography CAD system, relying on a manually designed feature set and a Convolutional Neural Network (CNN), aiming for a system that can ultimately read mammograms independently.
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Overview of deep learning in medical imaging
Kenji Suzuki,Kenji Suzuki +1 more
TL;DR: It is shown that ML with feature input (or feature-based ML) was dominant before the introduction of deep learning, and that the major and essential difference between ML before and after deep learning is the learning of image data directly without object segmentation or feature extraction; thus, it is the source of the power of deepLearning.
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Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
Ali Abbasian Ardakani,Alireza Rajabzadeh Kanafi,U. Rajendra Acharya,Nazanin Khadem,Afshin Mohammadi +4 more
TL;DR: ResNet-101 can be considered as a high sensitivity model to characterize and diagnose COVID-19 infections, and can be used as an adjuvant tool in radiology departments.
References
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Randomised trial of effect of alendronate on risk of fracture in women with existing vertebral fractures
Dennis M. Black,Steven R. Cummings,David B. Karpf,Jane A. Cauley,Desmond E. Thompson,Michael C. Nevitt,Douglas C. Bauer,Harry K. Genant,William L. Haskell,Robert Marcus,Susan M. Ott,James C. Torner,Sara A. Quandt,Theodore F. Reiss,Kristine E. Ensrud +14 more
TL;DR: Among women with low bone mass and existing vertebral fractures, alendronate is well tolerated and substantially reduces the frequency of morphometric and clinical vertebra fractures, as well as other clinical fractures.
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Reduction of vertebral fracture risk in postmenopausal women with osteoporosis treated with raloxifene: results from a 3-year randomized clinical trial
Bruce Ettinger,Dennis M. Black,Bruce H. Mitlak,Ronald Keith Knickerbocker,Thomas Nickelsen,Harry K. Genant,Claus Christiansen,Pierre D. Delmas,Jose R. Zanchetta,J. A. Stakkestad,Claus C. Glüer,Kathryn A. Krueger,Fredric J. Cohen,Stephen Eckert,Kristine E. Ensrud,Louis V. Avioli,Paul Lips,Steven R. Cummings +17 more
TL;DR: The Multiple Outcomes of Raloxifene Evaluation (MORE) study as mentioned in this paper evaluated the effect of raloxion hydrochloride therapy on risk of vertebral and non-vertebral fractures.
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Vertebral fracture assessment using a semiquantitative technique
TL;DR: The semiquantitative approach can be applied reliably in vertebral fracture assessment when performed using well‐defined criteria, and this approach was compared with a quantitative morpho‐metric approach.
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Early Lung Cancer Action Project: overall design and findings from baseline screening
Claudia I. Henschke,Dorothy I. McCauley,David F. Yankelevitz,David P. Naidich,Georgeann McGuinness,Olli S. Miettinen,Daniel M. Libby,Mark W. Pasmantier,June Koizumi,Nasser K. Altorki,James P. Smith +10 more
TL;DR: Low-dose CT can greatly improve the likelihood of detection of small non-calcified nodules, and thus of lung cancer at an earlier and potentially more curable stage, although false-positive CT results are common.
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Effect of Oral Alendronate on Bone Mineral Density and the Incidence of Fractures in Postmenopausal Osteoporosis
Uri A. Liberman,Stuart R. Weiss,Johann Broll,Helmut W. Minne,Hui Quan,Norman H. Bell,Jose Adolfo Rodriguez-Portales,Robert W. Downs,Jan Dequeker,Murray J. Favus,Ego Seeman,Robert R. Recker,Thomas P. Capizzi,Arthur C. Santora,Antonio Lombardi,Raksha V. Shah,Laurence J. Hirsch,David B. Karpf +17 more
TL;DR: Daily treatment with alendronate progressively increases the bone mass in the spine, hip, and total body and reduces the incidence of vertebral fractures, the progression of vertebra deformities, and height loss in postmenopausal women with osteoporosis.