Unet based Xception Model for Prostate Cancer Segmentation from MRI Images

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

(2020) Quande Liu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A new approach to diagnosing prostate cancer through magnetic resonance imaging

(2020) Li Zhang et al.   Alexandria Engineering Journal

Automatic segmentation of 3D prostate MR images with iterative localization refinement

(2019) Wenhui Zhou et al.   DIGITAL SIGNAL PROCESSING

Prostate Cancer Detection using Deep Convolutional Neural Networks

(2019) Sunghwan Yoo et al.   Scientific Reports

Recent progress in semantic image segmentation

(2018) Xiaolong Liu et al.   ARTIFICIAL INTELLIGENCE REVIEW

Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging

(2018) Haozhe Jia et al.   NEUROCOMPUTING

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging

(2018) Minh Nguyen Nhat To et al.   International Journal of Computer Assisted Radiology and Surgery

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

(2013) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation

(2010) Pingkun Yan et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING