Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net

25 August 2018

Papers citing "Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net"

6 / 6 papers shown

Title
MediSee: Reasoning-based Pixel-level Perception in Medical Images Qinyue Tong Ziqian Lu Jun Liu Yangming Zheng Zheming Lu LRM 43 0 0 15 Apr 2025
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 42 6 0 07 Feb 2023
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images Zhuangzhuang Zhang T. Zhao Hiram Gay Weixiong Zhang B. Sun 30 19 0 10 Jul 2021
Pyramid Medical Transformer for Medical Image Segmentation Zhuangzhuang Zhang Weixiong Zhang ViT MedIm 16 46 0 29 Apr 2021
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 28 1,045 0 02 Nov 2020
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound Fausto Milletari Seyed-Ahmad Ahmadi Christine Kroll A. Plate Verena E. Rozanski ... J. Levin O. Dietrich B. Ertl-Wagner K. Boetzel Nassir Navab 200 363 0 26 Jan 2016