Automated kidney tumor segmentation with convolution and transformer network
Extraction of Kidney Anatomy based on a 3D U-ResNet with Overlap-Tile Strategy
Modified nnU-Net for the MICCAI KiTS21 Challenge
2.5D Cascaded Semantic Segmentation for Kidney Tumor Cyst
Automated Machine Learning algorithm for Kidney, Kidney tumor, Kidney Cyst segmentation in Computed Tomography Scans
Three Uses of One Neural Network: Automatic Segmentation of Kidney Tumor and Cysts Based on 3D U-Net
Less is More: Contrast Attention assisted U-Net for Kidney, Tumor and Cyst Segmentations
A Coarse-to-fine Framework for The 2021 Kidney and Kidney Tumor Segmentation Challenge
Kidney and kidney tumor segmentation using a two-stage cascade framework
Squeeze-and-Excitation Encoder-Decoder Network for Kidney and Kidney Tumor Segmentation in CT images
A Two-stage Cascaded Deep Neural Network with Multi-decoding Paths for Kidney Tumor Segmentation
Mixup Augmentation for Kidney and Kidney Tumor Segmentation
Automatic Segmentation in Abdominal CT Imaging for the KiTS21 Challenge
An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans
Contrast-Enhanced CT Renal Tumor Segmentation
A Cascaded 3D Segmentation Model for Renal Enhanced CT Images
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT
A Coarse-to-Fine 3D U-Net Network for Semantic Segmentation of Kidney CT Scans
3D U-Net Based Semantic Segmentation of Kidneys and Renal Masses on Contrast-Enhanced CT
Kidney and Kidney Tumor Segmentation using Spatial and Channel attention enhanced U-Net Transfer Learning for KiTS21 Challenge.