Journal article
The Journal of Urology, vol. 207, Wolters Kluwer Philadelphia, PA, 2022, pp. e684
Assistant Professor (Tenure-track)
Assistant Professor (Tenure-track)
Assistant Professor (Tenure-track)
APA
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Bhattacharya, I., Lim, D., Kunder, C., Aung, H. L., Liu, X., Shao, W., … others. (2022). PD40-03 DIGITAL PATHOLOGY LABELS PERFORM BETTER THAN RADIOLOGIST LABELS FOR TRAINING DEEP LEARNING MODELS TO DETECT PROSTATE CANCER ON MRI. The Journal of Urology, 207, e684.
Chicago/Turabian
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Bhattacharya, Indrani, David Lim, Christian Kunder, Han Lin Aung, Xingchen Liu, Wei Shao, Simon Soerensen, et al. “PD40-03 DIGITAL PATHOLOGY LABELS PERFORM BETTER THAN RADIOLOGIST LABELS FOR TRAINING DEEP LEARNING MODELS TO DETECT PROSTATE CANCER ON MRI.” The Journal of Urology 207 (2022): e684.
MLA
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Bhattacharya, Indrani, et al. “PD40-03 DIGITAL PATHOLOGY LABELS PERFORM BETTER THAN RADIOLOGIST LABELS FOR TRAINING DEEP LEARNING MODELS TO DETECT PROSTATE CANCER ON MRI.” The Journal of Urology, vol. 207, Wolters Kluwer Philadelphia, PA, 2022, p. e684.
BibTeX Click to copy
@article{bhattacharya2022a,
title = {PD40-03 DIGITAL PATHOLOGY LABELS PERFORM BETTER THAN RADIOLOGIST LABELS FOR TRAINING DEEP LEARNING MODELS TO DETECT PROSTATE CANCER ON MRI},
year = {2022},
journal = {The Journal of Urology},
pages = {e684},
publisher = {Wolters Kluwer Philadelphia, PA},
volume = {207},
author = {Bhattacharya, Indrani and Lim, David and Kunder, Christian and Aung, Han Lin and Liu, Xingchen and Shao, Wei and Soerensen, Simon and Fan, Richard and Ghanouni, Pejman and To'o, Katherine and others}
}