Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

(2020) Nima Tajbakhsh et al.   MEDICAL IMAGE ANALYSIS

Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net

(2020) Nader Aldoj et al.   Scientific Reports

Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

(2020) Alireza Mehrtash et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

(2019) Veronika Cheplygina et al.   MEDICAL IMAGE ANALYSIS

Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2

(2019) Baris Turkbey et al.   EUROPEAN UROLOGY

Automated segmentation of prostate zonal anatomy on T2‐weighted (T2W) and apparent diffusion coefficient ( ADC ) map MR images using U‐Nets

(2019) Fatemeh Zabihollahy et al.   MEDICAL PHYSICS

USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

(2019) Leonardo Rundo et al.   NEUROCOMPUTING

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

(2019) Christian S. Perone et al.   NEUROIMAGE

3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images

(2019) Haozhe Jia et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

All over the map: An interobserver agreement study of tumor location based on the PI-RADSv2 sector map

(2018) Matthew D. Greer et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2

(2016) Jeffrey C. Weinreb et al.   EUROPEAN UROLOGY

Gland and Zonal Segmentation of Prostate on T2W MR Images

(2016) O. Chilali et al.   JOURNAL OF DIGITAL IMAGING

Computer-Aided Detection of Prostate Cancer in MRI

(2014) Geert Litjens et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Weakly supervised histopathology cancer image segmentation and classification

(2014) Yan Xu et al.   MEDICAL IMAGE ANALYSIS

Dual optimization based prostate zonal segmentation in 3D MR images

(2014) Wu Qiu et al.   MEDICAL IMAGE ANALYSIS

Simultaneous segmentation of prostatic zones using Active Appearance Models with multiple coupled levelsets

(2013) Robert Toth et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

Zonal segmentation of prostate using multispectral magnetic resonance images

(2011) N. Makni et al.   MEDICAL PHYSICS

Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model

(2010) Sébastien Martin et al.   MEDICAL PHYSICS