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Universal and Extensible Language-Vision Models for Organ Segmentation
  and Tumor Detection from Abdominal Computed Tomography

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography

28 May 2024
Jie Liu
Yixiao Zhang
Kang Wang
Mehmet Can Yavuz
Xiaoxi Chen
Yixuan Yuan
Haoliang Li
Yang Yang
Alan Yuille
Yucheng Tang
Zongwei Zhou
    MedIm
    VLM
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Papers citing "Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography"

26 / 76 papers shown
Title
Universal Lesion Detection by Learning from Multiple Heterogeneously
  Labeled Datasets
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
K. Yan
Jinzheng Cai
Adam P. Harrison
D. Jin
Jing Xiao
Le Lu
35
18
0
28 May 2020
Multi-organ Segmentation over Partially Labeled Datasets with
  Multi-scale Feature Abstraction
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
Xi Fang
Pingkun Yan
SSeg
63
176
0
01 Jan 2020
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image
  Segmentation
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
Qihang Yu
Dong Yang
H. Roth
Yutong Bai
Yixiao Zhang
Alan Yuille
Daguang Xu
67
108
0
20 Dec 2019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
117
2,617
0
11 Dec 2019
End-to-End Adversarial Shape Learning for Abdomen Organ Deep
  Segmentation
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
Jinzheng Cai
Yingda Xia
Dong Yang
Daguang Xu
Lin Yang
H. Roth
OOD
SSeg
MedIm
41
15
0
15 Oct 2019
Models Genesis: Generic Autodidactic Models for 3D Medical Image
  Analysis
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Zongwei Zhou
V. Sodha
M. R. Siddiquee
Ruibin Feng
Nima Tajbakhsh
Michael B. Gotway
Jianming Liang
MedIm
64
307
0
19 Aug 2019
Multi-Domain Adaptation in Brain MRI through Paired Consistency and
  Adversarial Learning
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning
Mauricio Orbes-Arteaga
Thomas Varsavsky
Carole H. Sudre
Zach Eaton-Rosen
Lewis J. Haddow
...
A. Pai
Sébastien Ourselin
Marc Modat
P. Nachev
M. Jorge Cardoso
OOD
45
40
0
16 Aug 2019
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion
  Detection, Tagging, and Segmentation
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
K. Yan
Youbao Tang
Yifan Peng
V. Sandfort
M. Bagheri
Zhiyong Lu
Ronald M. Summers
MedIm
34
85
0
12 Aug 2019
Incremental Learning Techniques for Semantic Segmentation
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
SSeg
CLL
VLM
89
234
0
31 Jul 2019
Scalable Neural Architecture Search for 3D Medical Image Segmentation
Scalable Neural Architecture Search for 3D Medical Image Segmentation
Sungwoong Kim
Ildoo Kim
Sungbin Lim
Woonhyuk Baek
Chiheon Kim
Hyungjoon Cho
Boogeon Yoon
Taesup Kim
121
75
0
13 Jun 2019
Prior-aware Neural Network for Partially-Supervised Multi-Organ
  Segmentation
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
Yuyin Zhou
Zhe Li
S. Bai
Chong Wang
Xinlei Chen
Mei Han
Elliot K. Fishman
Alan Yuille
46
177
0
12 Apr 2019
Med3D: Transfer Learning for 3D Medical Image Analysis
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen
Kai Ma
Yefeng Zheng
MedIm
56
457
0
01 Apr 2019
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context,
  CT Semantic Segmentations, and Surgical Outcomes
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
N. Heller
N. Sathianathen
A. Kalapara
E. Walczak
K. Moore
...
M. Peterson
Shaneabbas Raza
S. Regmi
Nikolaos Papanikolopoulos
C. Weight
53
411
0
31 Mar 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
106
859
0
25 Feb 2019
Cross-lingual Language Model Pretraining
Cross-lingual Language Model Pretraining
Guillaume Lample
Alexis Conneau
73
2,735
0
22 Jan 2019
The Liver Tumor Segmentation Benchmark (LiTS)
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
100
1,017
0
13 Jan 2019
Extending Pretrained Segmentation Networks with Additional Anatomical
  Structures
Extending Pretrained Segmentation Networks with Additional Anatomical Structures
Firat Özdemir
Orçun Göksel
CLL
52
45
0
12 Nov 2018
3D MRI brain tumor segmentation using autoencoder regularization
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko
92
1,044
0
27 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.6K
94,511
0
11 Oct 2018
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in
  Histopathology Images
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
Faisal Mahmood
Daniel Borders
Richard J. Chen
Gregory N. McKay
Kevan J. Salimian
Alexander S. Baras
Nicholas J. Durr
GAN
MedIm
65
286
0
29 Sep 2018
Learn the new, keep the old: Extending pretrained models with new
  anatomy and images
Learn the new, keep the old: Extending pretrained models with new anatomy and images
Firat Özdemir
Philipp Fürnstahl
Orçun Göksel
CLL
52
48
0
01 Jun 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
151
5,018
0
11 Apr 2018
Fast Image Processing with Fully-Convolutional Networks
Fast Image Processing with Fully-Convolutional Networks
Qifeng Chen
Jia Xu
V. Koltun
40
322
0
02 Sep 2017
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
282
4,391
0
29 Jun 2016
DeepOrgan: Multi-level Deep Convolutional Networks for Automated
  Pancreas Segmentation
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
H. Roth
Le Lu
A. Farag
Hoo-Chang Shin
Jiamin Liu
E. Turkbey
Ronald M. Summers
SSeg
MedIm
65
742
0
22 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.7K
76,917
0
18 May 2015
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