Optimized Lung Nodule Classification Using CLAHE-Enhanced CT Imaging and Swin Transformer-Based Deep Feature Extraction. [PDF]
Hrizi D, Tbarki K, Elasmi S.
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A deep learning model for early diagnosis of alzheimer's disease combined with 3D CNN and video Swin transformer. [PDF]
Zhou J +6 more
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SwinTCS: A Swin Transformer Approach to Compressive Sensing with Non-Local Denoising. [PDF]
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Pretrained Swin Transformer Models for Slide-Level Leukemia Classification
Ingunn Ofstad
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Hierarchical Swin Transformer Ensemble with Explainable AI for Robust and Decentralized Breast Cancer Diagnosis. [PDF]
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ED-Swin Transformer: A Cassava Disease Classification Model Integrated with UAV Images. [PDF]
Zhang J, Zhou H, Liu K, Xu Y.
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A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI. [PDF]
Hussain SS +6 more
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Multitask Swin Transformer for classification and characterization of pulmonary nodules in CT images. [PDF]
Jin H +5 more
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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), 2023As 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 ...
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