Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images (Unknown)
- New search for: Rajaraman, Sivaramakrishnan
- Further information on Rajaraman, Sivaramakrishnan:
- https://orcid.org/0000-0003-0871-8634
- New search for: Silamut, Kamolrat
- New search for: Hossain, Md. A.
- New search for: Ersoy, I.
- New search for: Maude, Richard J.
- Further information on Maude, Richard J.:
- https://orcid.org/0000-0002-5355-0562
- New search for: Jaeger, Stefan
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- https://orcid.org/0000-0001-6877-4318
- New search for: Thoma, George R.
- New search for: Antani, Sameer K.
- Further information on Antani, Sameer K.:
- https://orcid.org/0000-0002-0040-1387
- New search for: Rajaraman, Sivaramakrishnan
- New search for: Silamut, Kamolrat
- New search for: Hossain, Md. A.
- New search for: Ersoy, I.
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In:
Journal of Medical Imaging
;
5
, 3
;
034501
;
2018
- Article (Journal) / Electronic Resource
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Title:Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images
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Additional title:J. Med. Imag.
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Contributors:Rajaraman, Sivaramakrishnan ( author ) / Silamut, Kamolrat ( author ) / Hossain, Md. A. ( author ) / Ersoy, I. ( author ) / Maude, Richard J. ( author ) / Jaeger, Stefan ( author ) / Thoma, George R. ( author ) / Antani, Sameer K. ( author )
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Published in:Journal of Medical Imaging ; 5, 3 ; 034501
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Publisher:
- New search for: Society of Photo-Optical Instrumentation Engineers
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Publication date:2018-07-18
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ISSN:
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Coden:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:Unknown
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Keywords:
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Source:
Table of contents – Volume 5, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 031401
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Special Section Guest Editorial: Medical Image Perceptions and Observer PerformanceMarkey, Mia K. / Haygood, Tamara Miner / Krupinski, Elizabeth A. et al. | 2018
- 031402
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Influence of radiology expertise on the perception of nonmedical imagesKelly, Brendan / Rainford, Louise A. / McEntee, Mark F. / Kavanagh, Eoin C. et al. | 2017
- 031403
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Estimating detectability index in vivo : development and validation of an automated methodologySmith, Taylor Brunton / Solomon, Justin / Samei, Ehsan et al. | 2017
- 031404
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Estimability index for volume quantification of homogeneous spherical lesions in computed tomographySamei, Ehsan / Robins, Marthony / Chen, Baiyu / Agasthya, Greeshma et al. | 2017
- 031405
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Blood vessel segmentation in modern wide-field retinal images in the presence of additive Gaussian noiseAsem, Morteza Modarresi / Oveisi, Iman Sheikh / Janbozorgi, Mona et al. | 2018
- 031406
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Quantifying the costs of interruption during diagnostic radiology interpretation using mobile eye-tracking glassesDrew, Trafton / Williams, Lauren H. / Aldred, Booth / Heilbrun, Marta E. / Minoshima, Satoshi et al. | 2018
- 031407
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Search pattern training for evaluation of central venous catheter positioning on chest radiographsAuffermann, William F. / Krupinski, Elizabeth A. / Tridandapani, Srini et al. | 2018
- 031408
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Modeling sequential context effects in diagnostic interpretation of screening mammogramsAlamudun, Folami / Paulus, Paige / Yoon, Hong-Jun / Tourassi, Georgia et al. | 2018
- 031409
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Consultation and citation rates for prior imaging studies and documents in radiologyHaygood, Tamara Miner / Mullins, Barry / Sun, Jia / Amini, Behrang / Bhosale, Priya / Kang, Hyunseon C. / Sagebiel, Tara / Mujtaba, Bilal et al. | 2018
- 031410
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Paired split-plot designs of multireader multicase studiesChen, Weijie / Gong, Qi / Gallas, Brandon D. et al. | 2018
- 031411
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Cognitive processing differences of experts and novices when correlating anatomy and cross-sectional imagingSalkowski, Lonie R. / Russ, Rosemary et al. | 2018
- 031412
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Memory bias in observer-performance literatureHaygood, Tamara Miner / Smith, Samantha / Sun, Jia et al. | 2018
- 033501
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Reproducing two-dimensional mammograms with three-dimensional printed phantomsBadal, Andreu / Clark, Matthew / Ghammraoui, Bahaa et al. | 2018
- 033502
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Dual-source multienergy CT with triple or quadruple x-ray beamsYu, Lifeng / Ren, Liqiang / Li, Zhoubo / Leng, Shuai / McCollough, Cynthia H. et al. | 2018
- 033503
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Dual-energy computed tomography using a gantry-based preclinical cone-beam microcomputed tomography scannerTse, Justin J. / Dunmore-Buyze, Joy / Drangova, Maria / Holdsworth, David W. et al. | 2018
- 033504
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Small animal, positron emission tomography-magnetic resonance imaging system based on a clinical magnetic resonance imaging scanner: evaluation of basic imaging performanceRaylman, Raymond R. / Ledden, Patrick / Stolin, Alexander V. / Hou, Bob / Jaliparthi, Ganghadar / Martone, Peter F. et al. | 2018
- 034001
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Magnetic resonance imaging-based pseudo computed tomography using anatomic signature and joint dictionary learningLei, Yang / Shu, Hui-Kuo / Tian, Sibo / Jeong, Jiwoong Jason / Liu, Tian / Shim, Hyunsuk / Mao, Hui / Wang, Tonghe / Jani, Ashesh B. / Curran, Walter J. et al. | 2018
- 034002
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Large-scale medical image annotation with crowd-powered algorithmsHeim, Eric / Roß, Tobias / Seitel, Alexander / März, Keno / Stieltjes, Bram / Eisenmann, Matthias / Lebert, Johannes / Metzger, Jasmin / Sommer, Gregor / Sauter, Alexander W. et al. | 2018
- 034003
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Image-based assessment of uncertainty in quantification of carotid lumenKaufhold, Lilli / Harloff, Andreas / Schumann, Christian / Krafft, Axel J. / Hennig, Juergen / Hennemuth, Anja et al. | 2018
- 034501
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Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear imagesRajaraman, Sivaramakrishnan / Silamut, Kamolrat / Hossain, Md. A. / Ersoy, I. / Maude, Richard J. / Jaeger, Stefan / Thoma, George R. / Antani, Sameer K. et al. | 2018
- 034502
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Classification of suspicious lesions on prostate multiparametric MRI using machine learningKwon, Deukwoo / Reis, Isildinha M. / Breto, Adrian L. / Tschudi, Yohann / Gautney, Nicole / Zavala-Romero, Olmo / Lopez, Christopher / Ford, John C. / Punnen, Sanoj / Pollack, Alan et al. | 2018
- 034503
-
Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scansGudmundsson, Eyjolfur / Straus, Christopher M. / Armato, Samuel G. et al. | 2018
- 034504
-
Fisher encoding of convolutional neural network features for endoscopic image classificationWimmer, Georg / Vécsei, Andreas / Häfner, Michael / Uhl, Andreas et al. | 2018
- 035001
-
Validation of automatic cochlear implant electrode localization techniques usingμCTsZhao, Yiyuan / Labadie, Robert F. / Dawant, Benoit M. / Noble, Jack H. et al. | 2018
- 035501
-
Increasing display luminance as a means to enhance interpretation accuracy and efficiency when reducing full-field digital mammography doseKrupinski, Elizabeth A. et al. | 2018
- 035502
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Modeling visual search behavior of breast radiologists using a deep convolution neural networkMall, Suneeta / Brennan, Patrick C. / Mello-Thoms, Claudia et al. | 2018
- 035503
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Signal template generation from acquired images for model observer-based image quality analysis in mammographyBalta, Christiana / Bouwman, Ramona W. / Veldkamp, Wouter J. H. / Broeders, Mireille J. M. / Sechopoulos, Ioannis / van Engen, Ruben E. et al. | 2018
- 035504
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Interchangeability between real and three-dimensional simulated lung tumors in computed tomography: an interalgorithm volumetry studyRobins, Marthony / Solomon, Justin / Hoye, Jocelyn / Smith, Taylor / Zheng, Yuese / Ebner, Lukas / Choudhury, Kingshuk Roy / Samei, Ehsan et al. | 2018
- 036001
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Deep learning-based mesoscopic fluorescence molecular tomography: an in silico studyLong, Feixiao et al. | 2018
- 036501
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DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learningYan, Ke / Wang, Xiaosong / Lu, Le / Summers, Ronald M. et al. | 2018