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Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function.

S. Wei, Y. Choi, M. Wahi-Anwar, L. Shrestha, K. Wong, and M. Brown. Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)

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Jonathan Brown

Martin Brown

Gary Brown

Nelson Brown

Other publications of authors with the same name

Catheter detection and classification on chest radiographs: an automated prototype computer-aided detection (CAD) system for radiologists.B. Ramakrishna, M. Brown, J. Goldin, C. Cagnon, and D. Enzmann. Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 796333. SPIE, (2011)Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost.R. Ochs, J. Goldin, F. Abtin, H. Kim, K. Brown, P. Batra, D. Roback, M. McNitt-Gray, and M. Brown. Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 65120T. SPIE, (2007)Typed Self-Applicable Meta-Programming.M. Brown. University of California, Los Angeles, USA, (2017)AI-human interactive pipeline with feedback to accelerate medical image annotation.Y. Choi, M. Garcia, S. Raman, D. Enzmann, and M. Brown. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)An extensible knowledge-based architecture for segmenting computed tomography images.M. Brown, M. McNitt-Gray, J. Goldin, and D. Aberle. ICIP (3), page 516-519. IEEE Computer Society, (1997)Examining the Effects of Race on Human-AI Cooperation.A. Atkins, M. Brown, and C. Dancy. SBP-BRiMS, volume 12720 of Lecture Notes in Computer Science, page 279-288. Springer, (2021)Computer-aided lung nodule diagnosis using a simple classifier.S. Shah, M. McNitt-Gray, S. Rogers, J. Goldin, D. Aberle, R. Suh, K. DeZoysa, and M. Brown. CARS, volume 1268 of International Congress Series, page 952-955. Elsevier, (2004)Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort.M. Wahi-Anwar, N. Emaminejad, J. Hoffman, G. Kim, M. Brown, and M. McNitt-Gray. Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105751L. SPIE, (2018)Improving semi-automated segmentation by integrating learning with active sampling.J. Huo, K. Okada, and M. Brown. Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83142M. SPIE, (2012)A probabilistic model for predicting diameters of lung airways.S. Yuen, M. Brown, S. Shah, H. Kim, S. Vasunilashorn, E. Kleerup, and J. Goldin. Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)

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Disambiguation of "Brown, Matthew S."

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Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function.

Please choose a person to relate this publication to

Jonathan Brown

Martin Brown

Gary Brown

Gary Brown

Nelson Brown

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Brown, Matthew S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function.

Please choose a person to relate this publication to

Jonathan Brown

Martin Brown

Gary Brown

Gary Brown

Nelson Brown

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function.