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2105.09511
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Medical Image Segmentation Using Squeeze-and-Expansion Transformers
International Joint Conference on Artificial Intelligence (IJCAI), 2021
20 May 2021
Shaohua Li
Xiuchao Sui
Xiangde Luo
Xinxing Xu
Yong Liu
Rick Siow Mong Goh
ViT
MedIm
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Papers citing
"Medical Image Segmentation Using Squeeze-and-Expansion Transformers"
50 / 55 papers shown
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Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images
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Test-time generative augmentation for medical image segmentation
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UQCV
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16 Feb 2024
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Yuan Zheng
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03 Feb 2024
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey
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Asifullah Khan
Zunaira Rauf
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Dr. Saddam Hussain Khan
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Umme Hani Asif
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A. Majid
Jeonghwan Gwak
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441
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Amirmohammad Shamaei
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Letícia Rittner
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26 Nov 2023
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Yanyu Ye
Zhenxi Zhang
Wei Wei
Chunna Tian
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18 Oct 2023
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Subhash Nerella
S. Bandyopadhyay
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Moritz Rempe
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J. Siveke
Barbara Grünwald
Jan Egger
Jens Kleesiek
MedIm
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295
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27 Jun 2023
Attention Mechanisms in Medical Image Segmentation: A Survey
Yutong Xie
Bing Yang
Qi Guan
Jianpeng Zhang
Qi Wu
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ViT
MedIm
272
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29 May 2023
A bioinspired three-stage model for camouflaged object detection
Tianyou Chen
Jin Xiao
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Shaojie Wang
307
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22 May 2023
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MedIm
255
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19 May 2023
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation
G. Prasanna
John Rohit Ernest
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184
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13 May 2023
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation
Yousef Yeganeh
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221
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28 Apr 2023
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Medical Physics (Lancaster) (Med. Phys.), 2023
Gary Y. Li
Junyu Chen
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Kuang Gong
Shijie Zhao
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MedIm
241
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08 Feb 2023
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Wei Shi
Wentao Zhang
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458
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07 Feb 2023
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
Reza Azad
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Ehsan Khodapanah Aghdam
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210
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25 Jan 2023
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
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Amirhossein Kazerouni
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Yiwei Jia
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Rijo Roy
Dorit Merhof
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09 Jan 2023
Vision Transformers in Medical Imaging: A Review
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30 Oct 2022
Adversarial Transformer for Repairing Human Airway Segmentation
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208
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247
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UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation
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Yanyu Xu
Jocelyn Hui Lin Goh
Rick Siow Mong Goh
Ching-Yu Cheng
251
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Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers
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Youbao Tang
Ning Zhang
Yirui Wang
Shenghua He
Mei Han
Jing Xiao
Ruei-Sung Lin
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218
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3D Vision with Transformers: A Survey
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TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
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