MDM-U-Net: A novel network for renal cancer structure segmentation

Cancer statistics in China and United States, 2022: profiles, trends, and determinants

(2022) Changfa Xia et al.   CHINESE MEDICAL JOURNAL

3D multi-scale residual fully convolutional neural network for segmentation of extremely large-sized kidney tumor

(2022) Ehwa Yang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

The feasibility and safety of adopting the left lumbar vein to localize the renal artery location during left transperitoneal laparoscopic partial nephrectomy

(2022) Zhongshun Yao et al.   Frontiers in Surgery

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2021) Hyuna Sung et al.   CA-A CANCER JOURNAL FOR CLINICIANS

MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT

(2021) Jinzhu Yang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Meta grayscale adaptive network for 3D integrated renal structures segmentation

(2021) Yuting He et al.   MEDICAL IMAGE ANALYSIS

New Technologies for Kidney Surgery Planning 3D, Impression, Augmented Reality 3D, Reconstruction: Current Realities and Expectations

(2021) Francesco Esperto et al.   Current Urology Reports

Holographic reconstruction technology used for intraoperative real-time navigation in robot-assisted partial nephrectomy in patients with renal tumors: a single center study

(2021) Shaohua Zeng et al.   Translational Andrology and Urology

Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation

(2020) Yuting He et al.   MEDICAL IMAGE ANALYSIS

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge

(2020) Nicholas Heller et al.   MEDICAL IMAGE ANALYSIS

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

(2020) Fabian Isensee et al.   NATURE METHODS

Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI

(2020) Anneke Meyer et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Three-dimensional virtual imaging of renal tumours: a new tool to improve the accuracy of nephrometry scores

(2019) Francesco Porpiglia et al.   BJU INTERNATIONAL

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

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

3D deeply supervised network for automated segmentation of volumetric medical images

(2017) Qi Dou et al.   MEDICAL IMAGE ANALYSIS

Kidney cancer

(2016) Brian Owens   NATURE

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

(2015) Abdel Aziz Taha et al.   BMC MEDICAL IMAGING

Precise Segmental Renal Artery Clamping Under the Guidance of Dual-source Computed Tomography Angiography During Laparoscopic Partial Nephrectomy

(2012) Pengfei Shao et al.   EUROPEAN UROLOGY

Laparoscopic Partial Nephrectomy With Segmental Renal Artery Clamping: Technique and Clinical Outcomes

(2010) Pengfei Shao et al.   EUROPEAN UROLOGY