Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural network-Reference-Cited by-同舟云学术

Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural network

Published:2020-10-13 Issue:05 Volume:7 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Bukowy John D.¹,Foss Halle²,McGarry Sean D.³,Lowman Allison K.²,Hurrell Sarah L.²,Iczkowski Kenneth A.⁴,Banerjee Anjishnu⁵,Bobholz Samuel A.³,Barrington Alexander²,Dayton Alex⁶,Unteriner Jackson²,Jacobsohn Kenneth⁷,See William A.⁷,Nevalainen Marja T.⁴,Nencka Andrew S.²,Ethridge Tyler⁸,Jarrard David F.⁸,LaViolette Peter S.²

Affiliation:

1. Milwaukee School of Engineering, Department of Electrical Engineering and Computer Science, Milwauke

2. Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin

3. Medical College of Wisconsin, Department of Biophysics, Milwaukee, Wisconsin

4. Medical College of Wisconsin, Department of Pathology, Milwaukee, Wisconsin

5. Medical College of Wisconsin, Division of Biostatistics, Milwaukee, Wisconsin

6. Medical College of Wisconsin, Department of Physiology, Milwaukee, Wisconsin

7. Medical College of Wisconsin, Department of Urological Surgery, Milwaukee, Wisconsin

8. University of Wisconsin, Department of Urology, Madison, Wisconsin

Publisher

SPIE-Intl Soc Optical Eng

Subject