English

A Multi-Stage Framework for the 2022 Multi-Structure Segmentation for Renal Cancer Treatment

Image and Video Processing 2022-07-20 v1 Computer Vision and Pattern Recognition
Authors: Yusheng Liu , Zhongchen Zhao , Lisheng Wang
View on arXiv ↗ PDF ↗

Abstract

Three-dimensional (3D) kidney parsing on computed tomography angiography (CTA) images is of great clinical significance. Automatic segmentation of kidney, renal tumor, renal vein and renal artery benefits a lot on surgery-based renal cancer treatment. In this paper, we propose a new nnhra-unet network, and use a multi-stage framework which is based on it to segment the multi-structure of kidney and participate in the KiPA2022 challenge.

Keywords

medical image segmentation

Cite

@article{arxiv.2207.09165,
  title  = {A Multi-Stage Framework for the 2022 Multi-Structure Segmentation for Renal Cancer Treatment},
  author = {Yusheng Liu and Zhongchen Zhao and Lisheng Wang},
  journal= {arXiv preprint arXiv:2207.09165},
  year   = {2022}
}

Related papers

View all related →
Image and Video Processing · Electrical Eng. & Systems
Using Large Context for Kidney Multi-Structure Segmentation from CTA Images
Weiwei Cao, Yuzhu Cao
2024-02-29
Image and Video Processing · Electrical Eng. & Systems
An evaluation of U-Net in Renal Structure Segmentation
Haoyu Wang, Ziyan Huang, Jin Ye, Can Tu +6
2022-09-07
Image and Video Processing · Electrical Eng. & Systems
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation
Kangqing Ye, Peng Liu, Xiaoyang Zou, Qin Zhou +1
2022-09-08
Image and Video Processing · Electrical Eng. & Systems
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation
Zhenyu Bu, Kai-Ni Wang, Guang-Quan Zhou
2023-10-06
Image and Video Processing · Electrical Eng. & Systems
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment
David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotar
2022-08-09
Image and Video Processing · Electrical Eng. & Systems
Boundary-Aware Network for Kidney Parsing
Shishuai Hu, Yiwen Ye, Zehui Liao, Yong Xia
2022-08-30
Image and Video Processing · Electrical Eng. & Systems
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes
Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang +3
2020-05-05
Image and Video Processing · Electrical Eng. & Systems
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge
Gianmarco Santini, Noémie Moreau, Mathieu Rubeaux
2020-11-03
Image and Video Processing · Electrical Eng. & Systems
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation
Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta, Tomi Westerlund
2020-06-05
Image and Video Processing · Electrical Eng. & Systems
CTI-Unet: Cascaded Threshold Integration for Improved U-Net Segmentation of Pathology Images
Mingyang Zhu, Yuqiu Liang, Jiacheng Wang
2025-04-09
Image and Video Processing · Electrical Eng. & Systems
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu +5
2023-09-07
Image and Video Processing · Electrical Eng. & Systems
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation
Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang +5
2021-06-09
Image and Video Processing · Electrical Eng. & Systems
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks
Andriy Myronenko, Ali Hatamizadeh
2019-09-17
Artificial Intelligence · Computer Science
Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation
Fnu Neha, Arvind K. Bansal
2024-10-23
Computer Vision and Pattern Recognition · Computer Science
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks
Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng
2019-07-29
Image and Video Processing · Electrical Eng. & Systems
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu +1
2020-02-21
Image and Video Processing · Electrical Eng. & Systems
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data
Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Sung-Hoo Hong +1
2023-12-12
Image and Video Processing · Electrical Eng. & Systems
Kidney segmentation using 3D U-Net localized with Expectation Maximization
Omid Bazgir, Kai Barck, Richard A. D. Carano, Robby M. Weimer +1
2020-09-02
Image and Video Processing · Electrical Eng. & Systems
A multi view multi stage and multi window framework for pulmonary artery segmentation from CT scans
ZeYu Liu, Yi Wang, Jing Wen, Yong Zhang +3
2022-09-15
Image and Video Processing · Electrical Eng. & Systems
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation
Wenshuai Zhao, Zengfeng Zeng
2019-08-14
Image and Video Processing · Electrical Eng. & Systems
Automatic segmentation of kidney and liver tumors in CT images
Dina B. Efremova, Dmitry A. Konovalov, Thanongchai Siriapisith, Worapan Kusakunniran +1
2019-09-18
Image and Video Processing · Electrical Eng. & Systems
Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit
D. Sabarinathan, M. Parisa Beham, S. M. Md. Mansoor Roomi
2019-08-12
Image and Video Processing · Electrical Eng. & Systems
Technical report: Kidney tumor segmentation using a 2D U-Net followed by a statistical post-processing filter
Iwan Paolucci
2020-02-26
Image and Video Processing · Electrical Eng. & Systems
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net
Seyed Sina Ziaee, Farhad Maleki, Katie Ovens
2025-03-14
Computer Vision and Pattern Recognition · Computer Science
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images
Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao +2
2020-04-06
R2 v1 2026-06-25T01:02:45.036Z