ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.12291
  4. Cited By
CancerUniT: Towards a Single Unified Model for Effective Detection,
  Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection
  of CT Scans

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

28 January 2023
Jieneng Chen
Yingda Xia
Jiawen Yao
K. Yan
Jianpeng Zhang
Le Lu
Fakai Wang
Bo Zhou
Mingyan Qiu
Qihang Yu
Ming Yuan
Wei Fang
Yuxing Tang
Minfeng Xu
Jian Zhou
Yuqian Zhao
Qifeng Wang
X. Ye
Xiaoli Yin
Yu Shi
Xin Chen
Jingren Zhou
Alan Yuille
Zai-De Liu
Ling Zhang
    ViT
    MedIm
ArXivPDFHTML

Papers citing "CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans"

4 / 4 papers shown
Title
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
Yankai Jiang
Peng Zhang
D. Yang
Yuan Tian
Hai Lin
X. Wang
MedIm
55
0
0
05 May 2025
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image
  Segmentation
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Zilin Lu
Mengkang Lu
Yicheng Wu
Yong-quan Xia
25
3
0
20 Nov 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
VLM
MedIm
25
188
0
02 Jan 2023
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set
  Loss
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
42
25
0
03 May 2021
1