E$^2$Net: An Edge Enhanced Network for Accurate Liver and Tumor
Segmentation on CT Scans

E $^2$ Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans

19 July 2020

Ronald M. Summers

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Papers citing "E$^2$Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans"

16 / 16 papers shown

Title
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning Wei Huang Wei Liu Xiaoming Zhang Xiaoli Yin Xu Han ... Yu Shi Le Lu Ling Zhang Lei Zhang Ke Yan 36 0 0 18 Jul 2024
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network K. Yan Xiaoli Yin Yingda Xia Fakai Wang Shu Wang ... Xiaoyu Bai Jingren Zhou Ling Zhang Le Lu Yu Shi MedIm 124 6 0 17 Jul 2023
Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision Seung Yeon Shin Thomas C. Shen Ronald M. Summers 59 1 0 11 Jul 2023
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism Haopeng Kuang Dingkang Yang Shunli Wang Xiaoying Wang Lihua Zhang MedIm 53 12 0 20 Feb 2023
Learning from partially labeled data for multi-organ and tumor segmentation Yutong Xie Jianpeng Zhang Yong-quan Xia Chunhua Shen MedIm ViT 83 20 0 13 Nov 2022
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency Guidance Hongyi Wang Lanfen Lin Hongjie Hu Qingqing Chen Yinhao Li Yutaro Iwamoto X. Han Yen-Wei Chen Ruofeng Tong 3DV 52 1 0 26 Oct 2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification Faris Almalik Mohammad Yaqub Karthik Nandakumar ViT AAML MedIm 102 33 0 04 Aug 2022
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor Seung Yeon Shin Thomas C. Shen S. Wank Ronald M. Summers 47 3 0 29 Jul 2022
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection Youbao Tang K. Yan Jinzheng Cai Lingyun Huang Guotong Xie Jing Xiao Jingjing Lu Gigin Lin Le Lu MedIm 63 10 0 05 May 2021
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss Youbao Tang Jinzheng Cai K. Yan Lingyun Huang Guotong Xie Jing Xiao Jingjing Lu Gigin Lin Le Lu 88 26 0 03 May 2021
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining Jieneng Chen K. Yan Yu-Dong Zhang Youbao Tang Xun Xu ... Lingyun Huang Jing Xiao Alan Yuille Ya Zhang Le Lu 20 2 0 09 Mar 2021
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets Jianpeng Zhang Yutong Xie Yong-quan Xia Chunhua Shen 134 157 0 20 Nov 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 209 649 0 02 Aug 2020
One Click Lesion RECIST Measurement and Segmentation on CT Scans Youbao Tang K. Yan Jing Xiao Ronald M. Summers 78 20 0 21 Jul 2020
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 144 1,031 0 13 Jan 2019
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans Qiangguo Jin Zhao-Peng Meng Changming Sun Leyi Wei R. Su MedIm 116 359 0 04 Nov 2018