Kidney and Renal Tumor Segmentation Using a Hybrid V-Net-Based Model

Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering

(2020) Leonardo Rundo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation

(2020) Chen Li et al.   COMPUTERS & GRAPHICS-UK

Kidney segmentation from computed tomography images using deep neural network

(2020) Luana Batista da Cruz et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network

(2020) Fuzhe Ma et al.   Future Generation Computer Systems-The International Journal of eScience

Kidney cortex segmentation in 2D CT with U-Nets ensemble aggregation

(2019) V. Couteaux et al.   Diagnostic and Interventional Imaging

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

Segmentation of deformed kidneys and nephroblastoma using Case-Based Reasoning and Convolutional Neural Network

(2019) Florent Marie et al.   EXPERT SYSTEMS WITH APPLICATIONS

Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images

(2019) Qian Yu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams

(2019) Chenglong Wang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Kidney disease detection and segmentation using artificial neural network and multi-kernel k-means clustering for ultrasound images

(2019) A. Nithya et al.   MEASUREMENT

Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

(2018) Huazhu Fu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping

(2018) Wenguan Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A decision support system for detection of the renal cell cancer in the kidney

(2018) Seda Arslan Tuncer et al.   MEASUREMENT

Deep Learning Renal Segmentation for Fully Automated Radiation Dose Estimation in Unsealed Source Therapy

(2018) Price Jackson et al.   Frontiers in Oncology

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

Adaptive Image Enhancement using Hybrid Particle Swarm Optimization and Watershed Segmentation

(2018) N. Mohanapriya et al.   INTELLIGENT AUTOMATION AND SOFT COMPUTING

Partial Nephrectomy Versus Radical Nephrectomy for Clinical T1b and T2 Renal Tumors: A Systematic Review and Meta-analysis of Comparative Studies

(2017) Maria Carmen Mir et al.   EUROPEAN UROLOGY

CorteXpert : A model-based method for automatic renal cortex segmentation

(2017) Dehui Xiang et al.   MEDICAL IMAGE ANALYSIS

Renal compartment segmentation in DCE-MRI images

(2016) Xin Yang et al.   MEDICAL IMAGE ANALYSIS

A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation

(2015) Carmelo Militello et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Treatment Management of Small Renal Masses in the 21st Century: A Paradigm Shift

(2012) Maxine Sun et al.   ANNALS OF SURGICAL ONCOLOGY

Epidemiology and risk factors for kidney cancer

(2010) Wong-Ho Chow et al.   Nature Reviews Urology

Significance of tumour calcification in ovarian carcinoma

(2009) G J C BURKILL et al.   BRITISH JOURNAL OF RADIOLOGY

Renal tumor quantification and classification in contrast-enhanced abdominal CT

(2008) Marius George Linguraru et al.   PATTERN RECOGNITION