Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural network
John D. Bukowy(Medical College of Wisconsin), Peter S. LaViolette(Medical College of Wisconsin), Kenneth A. Iczkowski(University of California, Davis), Jackson Unteriner(Medical College of Wisconsin), Alex Dayton(The Ohio State University), Sarah Hurrell(Medical College of Wisconsin), Andrew S. Nencka(Medical College of Wisconsin), Kenneth Jacobsohn(Medical College of Wisconsin), Anjishnu Banerjee(Medical College of Wisconsin), Tyler Ethridge(University of Wisconsin–Madison), Marja T. Nevalainen(Thomas Jefferson University), Samuel Bobholz(Medical College of Wisconsin), Sean D. McGarry(Medical College of Wisconsin), Allison Lowman(Medical College of Wisconsin), William A. See(Medical College of Wisconsin), Alexander Barrington(Medical College of Wisconsin), Halle Foss(Medical College of Wisconsin), David F. Jarrard(University of Wisconsin System)
Cited by 12
Related Papers
Chemohormonal Therapy in Metastatic Hormone-Sensitive Prostate Cancer
|New England Journal of Medicine|2015|2.8k
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study
|NeuroImage|2019|1.2k
Chemohormonal Therapy in Metastatic Hormone-Sensitive Prostate Cancer: Long-Term Survival Analysis of the Randomized Phase III E3805 CHAARTED Trial
|Journal of Clinical Oncology|2018|1.1k
Amyloid Deposition Is Associated with Impaired Default Network Function in Older Persons without Dementia
|Neuron|2009|1k
Classification of renal cell carcinoma
|Cancer|1997|878