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Medical image segmentation has seen significant improvements with transformer models, which excel in grasping far-reaching contexts and global contextual information.
Ph 2-a dermoscopic image database for research and benchmarking
Teresa Mendonça, Pedro M Ferreira, Jorge S Marques, André RS Marcal, and Jorge Rozeira · 2013
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Going deeper with convolutions, 2014
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation
Holger R Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B Turkbey, and Ronald M Summers · 2015
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Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2015
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation, 2016
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2016
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Semantic image segmentation with deep convolutional nets and fully connected crfs, 2016
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2016
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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Feature pyramid networks for object detection, 2017
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
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Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (isbi), hosted by the international skin imaging collaboration (isic)
Noel CF Codella, David Gutman, M Emre Celebi, Brian Helba, Michael A Marchetti, Stephen W Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin Mishra, Harald Kittler, et al · 2018
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Multi-scale context intertwining for semantic segmentation
Di Lin, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, and Hui Huang · 2018
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Bi-directional convlstm u-net with densley connected convolutions
Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, and Sergio Escalera · 2019
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Noel Codella, Veronica Rotemberg, Philipp Tschandl, M Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, et al · 2019
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Dynamic multi-scale filters for semantic segmentation
Junjun He, Zhongying Deng, and Yu Qiao · 2019
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Attention gated networks: Learning to leverage salient regions in medical images
Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias Heinrich, Bernhard Kainz, Ben Glocker, and Daniel Rueckert · 2019
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Multi-level context gating of embedded collective knowledge for medical image segmentation
Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy, and Sergio Escalera · 2020
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Skin lesion segmentation via generative adversarial networks with dual discriminators
Baiying Lei, Zaimin Xia, Feng Jiang, Xudong Jiang, Zongyuan Ge, Yanwu Xu, Jing Qin, Siping Chen, Tianfu Wang, and Shuqiang Wang · 2020
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On the texture bias for few-shot cnn segmentation
Reza Azad, Abdur R Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, and Jose Dolz · 2021
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Swin-unet: Unet-like pure transformer for medical image segmentation, 2021
Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, and Manning Wang · 2021
Cited alongside, same era.
Transunet: Transformers make strong encoders for medical image segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L Yuille, and Yuyin Zhou · 2021
Cited alongside, same era.
Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R Roth, and Daguang Xu · 2021
Cited alongside, same era.
Capsules for biomedical image segmentation
Rodney LaLonde, Ziyue Xu, Ismail Irmakci, Sanjay Jain, and Ulas Bagci · 2021
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Cited alongside, same era.
Missformer: An effective transformer for 2d medical image segmentation
Xiaohong Huang, Zhifang Deng, Dandan Li, Xueguang Yuan, and Ying Fu · 2022
Later among the works it cites.
Missformer: An effective transformer for 2d medical image segmentation
Xiaohong Huang, Zhifang Deng, Dandan Li, Xueguang Yuan, and Ying Fu · 2022
Later among the works it cites.
Review the state-of-the-art technologies of semantic segmentation based on deep learning
Yujian Mo, Yan Wu, Xinneng Yang, Feilin Liu, and Yujun Liao · 2022
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Unetr++: delving into efficient and accurate 3d medical image segmentation
Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed, Salman Khan, Ming-Hsuan Yang, and Fahad Shahbaz Khan · 2022
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Transformers in medical imaging: A survey, 2022
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, and Huazhu Fu · 2022
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Medical transformer: Gated axial-attention for medical image segmentation
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, and Vishal M Patel · 2021
Cited alongside, same era.
Transbts: Multimodal brain tumor segmentation using transformer
Wenxuan Wang, Chen Chen, Meng Ding, Hong Yu, Sen Zha, and Jiangyun Li · 2021
Cited alongside, same era.
Segformer: Simple and efficient design for semantic segmentation with transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo · 2021
Cited alongside, same era.
Cotr: Efficiently bridging cnn and transformer for 3d medical image segmentation
Yutong Xie, Jianpeng Zhang, Chunhua Shen, and Yong Xia · 2021
Cited alongside, same era.
Levit-unet: Make faster encoders with transformer for medical image segmentation
Guoping Xu, Xingrong Wu, Xuan Zhang, and Xinwei He · 2021
Cited alongside, same era.
nnformer: Interleaved transformer for volumetric segmentation
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, and Yizhou Yu · 2021
Cited alongside, same era.
Attention swin u-net: Cross-contextual attention mechanism for skin lesion segmentation
Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani, and Dorit Merhof · 2022
Cited alongside, same era.
Maxvit: Multi-axis vision transformer
Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, and Yinxiao Li · 2022
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Anti-oversmoothing in deep vision transformers via the fourier domain analysis: From theory to practice
Peihao Wang, Wenqing Zheng, Tianlong Chen, and Zhangyang Wang · 2022
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Fat-net: Feature adaptive transformers for automated skin lesion segmentation
Huisi Wu, Shihuai Chen, Guilian Chen, Wei Wang, Baiying Lei, and Zhenkun Wen · 2022
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D-former: A u-shaped dilated transformer for 3d medical image segmentation
Yixuan Wu, Kuanlun Liao, Jintai Chen, Jinhong Wang, Danny Z Chen, Honghao Gao, and Jian Wu · 2022
Later among the works it cites.
Advances in medical image analysis with vision transformers: A comprehensive review
Reza Azad, Amirhossein Kazerouni, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Yiwei Jia, Abin Jose, Rijo Roy, and Dorit Merhof · 2023
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Swin-unet: Unet-like pure transformer for medical image segmentation
Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, and Manning Wang · 2023
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Inter-scale dependency modeling for skin lesion segmentation with transformer-based networks
Sania Eskandari and Janet Lumpp · 2023
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A survey on vision transformer
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, and Dacheng Tao · 2023
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Hiformer: Hierarchical multi-scale representations using transformers for medical image segmentation
Moein Heidari, Amirhossein Kazerouni, Milad Soltany, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, and Dorit Merhof · 2023
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Hiformer: Hierarchical multi-scale representations using transformers for medical image segmentation
Moein Heidari, Amirhossein Kazerouni, Milad Soltany, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, and Dorit Merhof · 2023
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End-to-end classification of cell-cycle stages with center-cell focus tracker using recurrent neural networks
Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andrés, and Johannes Stegmaier · 2023
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Mmcformer: Missing modality compensation transformer for brain tumor segmentation
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, and Dorit Merhof · 2023
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Ms-former: Multi-scale self-guided transformer for medical image segmentation
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, and Dorit Merhof · 2023
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Self-supervised few-shot learning for semantic segmentation: An annotation-free approach
Sanaz Karimijafarbigloo, Reza Azad, and Dorit Merhof · 2023
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A survey of visual transformers
Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, and Zhiqiang He · 2023
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Medical image segmentation via cascaded attention decoding
Md Mostafijur Rahman and Radu Marculescu · 2023
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