Indrani Bhattacharya, PhD

Assistant Professor (Tenure-track)



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Indrani Bhattacharya, PhD

Assistant Professor (Tenure-track)



Biomedical Data Science

Dartmouth College




Indrani Bhattacharya, PhD

Assistant Professor (Tenure-track)



Biomedical Data Science

Dartmouth College



PD40-03 DIGITAL PATHOLOGY LABELS PERFORM BETTER THAN RADIOLOGIST LABELS FOR TRAINING DEEP LEARNING MODELS TO DETECT PROSTATE CANCER ON MRI


Journal article


Indrani Bhattacharya, David Lim, Christian Kunder, Han Lin Aung, Xingchen Liu, Wei Shao, Simon Soerensen, Richard Fan, Pejman Ghanouni, Katherine To'o, others
The Journal of Urology, vol. 207, Wolters Kluwer Philadelphia, PA, 2022, pp. e684

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Cite

APA   Click to copy
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   Click to copy
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   Click to copy
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}
}


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