Results 161 to 170 of about 7,252 (198)

Medical image segmentation by combining feature enhancement Swin Transformer and UperNet. [PDF]

Sci Rep
Zhang L, Yin X, Liu X, Liu Z.
europepmc   +1 more source

SwinTCS: A Swin Transformer Approach to Compressive Sensing with Non-Local Denoising. [PDF]

J Imaging
Li X, Li H, Liao H, Suo Z, Chen X, Han J.   +5 more
europepmc   +1 more source

A deep learning model for early diagnosis of alzheimer's disease combined with 3D CNN and video Swin transformer. [PDF]

Sci Rep
Zhou J, Wei Y, Li X, Zhou W, Tao R, Hua Y, Liu H.   +6 more
europepmc   +1 more source

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Dense Swin Transformer for Classification of Thyroid Nodules

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023
As an early sign of thyroid cancer, thyroid nodules are the most common nodular lesions. As a non-invasive imaging method, ultrasound is widely used in the diagnosis of benign and malignant thyroid nodules. As there is no obvious difference in appearance between the two types of thyroid nodules, and the contrast with the surrounding muscle tissue is ...
Namu Baima, Tianfu Wang 0001, Chong-Ke Zhao, Siping Chen, Chen Zhao, Baiying Lei   +5 more
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Swin Transformer for Color Constancy

Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City, 2022
Guanghui Fu, Tong Li, Kai Xie, Mengyao Yang   +3 more
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A data efficient transformer based on Swin Transformer

The Visual Computer, 2023
Dazhi Yao, Yunxue Shao
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Random Swin Transformer

2022 22nd International Conference on Control, Automation and Systems (ICCAS), 2022
Keong-Hun Choi, Jong-Eun Ha
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Underwater Object Detection with Swin Transformer

2022 4th International Conference on Data Intelligence and Security (ICDIS), 2022
Yuqi Sun, Xuan Wang 0002, Yi Zheng, Lin Yao 0004, Shuhan Qi, Linlin Tang, Hong Yi, Kunlei Dong   +7 more
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CCST: crowd counting with swin transformer

The Visual Computer, 2022
Bo Li 0128, Yong Zhang 0029, Haihui Xu, Baocai Yin   +3 more
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Swin transformer-based supervised hashing

Applied Intelligence, 2023
Liangkang Peng, Jiangbo Qian, Chong Wang 0001, Baisong Liu, Yihong Dong   +4 more
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