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CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

2 January 2023
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
    VLM
    MedIm
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Papers citing "CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection"

37 / 137 papers shown
Title
Unified Medical Image Pre-training in Language-Guided Common Semantic
  Space
Unified Medical Image Pre-training in Language-Guided Common Semantic Space
Xiaoxuan He
Yifan Yang
Xinyang Jiang
Xufang Luo
Haoji Hu
Siyun Zhao
Dongsheng Li
Yuqing Yang
Lili Qiu
27
1
0
24 Nov 2023
Deep Interactive Segmentation of Medical Images: A Systematic Review and
  Taxonomy
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Zdravko Marinov
Paul F. Jäger
Jan Egger
Jens Kleesiek
Rainer Stiefelhagen
30
16
0
23 Nov 2023
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
Yuxin Du
Fan Bai
Tiejun Huang
Bo-Lu Zhao
VLM
28
37
0
22 Nov 2023
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
Versatile Medical Image Segmentation Learned from Multi-Source Datasets
  via Model Self-Disambiguation
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
Xiaoyang Chen
Hao Zheng
Yuemeng Li
Yuncong Ma
Liang Ma
Hongming Li
Yong-Xian Fan
22
7
0
17 Nov 2023
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly
  Detection
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou
Guansong Pang
Yu Tian
Shibo He
Jiming Chen
VLM
26
120
0
29 Oct 2023
Foundational Models in Medical Imaging: A Comprehensive Survey and
  Future Vision
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision
Bobby Azad
Reza Azad
Sania Eskandari
Afshin Bozorgpour
A. Kazerouni
I. Rekik
Dorit Merhof
VLM
MedIm
93
59
0
28 Oct 2023
Synthetic Data as Validation
Synthetic Data as Validation
Qixing Hu
Alan L. Yuille
Zongwei Zhou
SyDa
OOD
19
8
0
24 Oct 2023
Acquiring Weak Annotations for Tumor Localization in Temporal and
  Volumetric Data
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
Yu-Cheng Chou
Bowen Li
Deng-Ping Fan
Alan L. Yuille
Zongwei Zhou
MedIm
29
5
0
23 Oct 2023
Exploring the Transfer Learning Capabilities of CLIP in Domain
  Generalization for Diabetic Retinopathy
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy
Sanoojan Baliah
F. Maani
Santosh Sanjeev
M. H. Khan
40
8
0
27 Aug 2023
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
Julio Silva-Rodríguez
H. Chakor
Riadh Kobbi
Jose Dolz
Ismail Ben Ayed
VLM
MedIm
64
33
0
15 Aug 2023
Early Detection and Localization of Pancreatic Cancer by Label-Free
  Tumor Synthesis
Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis
Bowen Li
Yu-Cheng Chou
Shuwen Sun
Hualin Qiao
Alan Yuille
Zongwei Zhou
13
14
0
06 Aug 2023
Unified Medical Image-Text-Label Contrastive Learning With Continuous
  Prompt
Unified Medical Image-Text-Label Contrastive Learning With Continuous Prompt
Yuhao Wang
VLM
MedIm
22
1
0
12 Jul 2023
Multiscale Progressive Text Prompt Network for Medical Image
  Segmentation
Multiscale Progressive Text Prompt Network for Medical Image Segmentation
Xianjun Han
Qianqian Chen
Zhaoyang Xie
Xuejun Li
Hongyu Yang
MedIm
13
8
0
30 Jun 2023
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained
  on a Large-Scale Unannotated Dataset
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset
Guotai Wang
Jianghao Wu
Xiangde Luo
Xinglong Liu
Kang Li
Shaoting Zhang
17
25
0
29 Jun 2023
Text Promptable Surgical Instrument Segmentation with Vision-Language
  Models
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
Zijian Zhou
Oluwatosin O. Alabi
Meng Wei
Tom Kamiel Magda Vercauteren
Miaojing Shi
MedIm
23
23
0
15 Jun 2023
Generative Text-Guided 3D Vision-Language Pretraining for Unified
  Medical Image Segmentation
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
Yinda Chen
Che Liu
Wei Huang
Sibo Cheng
Rossella Arcucci
Zhiwei Xiong
VLM
MedIm
14
48
0
07 Jun 2023
Training Like a Medical Resident: Context-Prior Learning Toward
  Universal Medical Image Segmentation
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
Yunhe Gao
Zhuowei Li
Di Liu
Mu Zhou
Shaoting Zhang
Dimitris N. Metaxas
MedIm
15
12
0
04 Jun 2023
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
Yixiao Zhang
Xinyi Li
Huimiao Chen
Alan Yuille
Yaoyao Liu
Zongwei Zhou
CLL
14
33
0
01 Jun 2023
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical
  imaging: A comprehensive evaluation and practical guidelines
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines
C. M. Oliveira
L. V. Moura
R. Ravazio
L. S. Kupssinskü
Otávio Parraga
Marcelo Mussi Delucis
Rodrigo C. Barros
VLM
MedIm
70
25
0
28 Apr 2023
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using
  Comprehensive Supervisions and Self-training
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training
Han Liu
Zhoubing Xu
Riqiang Gao
Hao Li
J. Wang
G. Chabin
I. Oguz
Sasa Grbic
33
17
0
27 Apr 2023
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical
  Volumetric Segmentation
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
Jiachen Shen
Wenxuan Wang
Chen Chen
Jianbo Jiao
Jing Liu
Yan Zhang
Shanshan Song
Jiangyun Li
28
0
0
21 Apr 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 Learner
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Yong-quan Xia
SSL
17
40
0
07 Apr 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
57
12
0
29 Mar 2023
An End-to-End Framework For Universal Lesion Detection With Missing
  Annotations
An End-to-End Framework For Universal Lesion Detection With Missing Annotations
Xiaoyu Bai
Yong-quan Xia
MedIm
31
3
0
27 Mar 2023
Label-Free Liver Tumor Segmentation
Label-Free Liver Tumor Segmentation
Qixing Hu
Yixiong Chen
Junfei Xiao
Shuwen Sun
Jieneng Chen
Alan Yuille
Zongwei Zhou
VLM
30
57
0
27 Mar 2023
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
Constantin Ulrich
Fabian Isensee
Tassilo Wald
M. Zenk
Michael Baumgartner
Klaus H. Maier-Hein
15
37
0
25 Mar 2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image
  Segmentation
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Zhaohu Xing
Lei Zhu
Lequan Yu
Zhiheng Xing
Liang Wan
26
8
0
18 Mar 2023
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
18
45
0
09 Oct 2022
Medical Image Understanding with Pretrained Vision Language Models: A
  Comprehensive Study
Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study
Ziyuan Qin
Huahui Yi
Qicheng Lao
Kang Li
VLM
24
65
0
30 Sep 2022
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D
  Medical Images
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
A. Diaz-Pinto
Sachidanand Alle
V. Nath
Yucheng Tang
Alvin Ihsani
...
Daguang Xu
Prerna Dogra
Sebastien Ourselin
Andrew Feng
M. Jorge Cardoso
11
70
0
23 Mar 2022
UniMiSS: Universal Medical Self-Supervised Learning via Breaking
  Dimensionality Barrier
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
Yutong Xie
Jianpeng Zhang
Yong-quan Xia
Qi Wu
MedIm
66
63
0
17 Dec 2021
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan Yuille
Chaoyi Zhang
Weidong (Tom) Cai
Zongwei Zhou
UQCV
15
38
0
26 Nov 2021
Universal Lesion Detection in CT Scans using Neural Network Ensembles
Universal Lesion Detection in CT Scans using Neural Network Ensembles
Tarun Mattikalli
T. Mathai
Ronald M. Summers
MedIm
29
11
0
09 Nov 2021
Template-free Prompt Tuning for Few-shot NER
Template-free Prompt Tuning for Few-shot NER
Ruotian Ma
Xin Zhou
Tao Gui
Y. Tan
Linyang Li
Qi Zhang
Xuanjing Huang
VLM
143
177
0
28 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
Conditional Convolutions for Instance Segmentation
Conditional Convolutions for Instance Segmentation
Zhi Tian
Chunhua Shen
Hao Chen
ISeg
169
597
0
12 Mar 2020
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