ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.12665
  4. Cited By
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image
  Segmentation using Partially Labeled Data
v1v2 (latest)

Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data

23 December 2021
Ruining Deng
Quan Liu
C. Cui
Zuhayr Asad
Haichun Yang
Yuankai Huo
ArXiv (abs)PDFHTMLGithub (30★)

Papers citing "Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data"

3 / 3 papers shown
Multi-scale Multi-site Renal Microvascular Structures Segmentation for
  Whole Slide Imaging in Renal Pathology
Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology
Franklin T. Hu
Ruining Deng
Shunxing Bao
Haichun Yang
Yuankai Huo
88
5
0
10 Aug 2023
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong
  Representation Learner
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation LearnerInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Yong-quan Xia
SSL
214
68
0
07 Apr 2023
Omni-Seg: A Scale-aware Dynamic Network for Renal Pathological Image
  Segmentation
Omni-Seg: A Scale-aware Dynamic Network for Renal Pathological Image SegmentationIEEE Transactions on Biomedical Engineering (IEEE TBME), 2022
Ruining Deng
Quan Liu
C. Cui
Tianyuan Yao
Jun Long
...
Zheyu Zhu
Agnes B. Fogo
Shilin Zhao
Haichun Yang
Yuankai Huo
211
40
0
27 Jun 2022
1
Page 1 of 1