J Ma, Y Song, X Tian, Y Hua, R Zhang, J Wu - Frontiers of medicine, 2020 - Springer
As a promising method in artificial intelligence, deep learning has been proven successful in several domains ranging from acoustics and images to natural language processing. With …
X Yan, H Tang, S Sun, H Ma… - Proceedings of the …, 2022 - openaccess.thecvf.com
Recent advances in transformer-based models have drawn attention to exploring these techniques in medical image segmentation, especially in conjunction with the U-Net model …
H Tang, X Liu, S Sun, X Yan… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Although having achieved great success in medical image segmentation, deep convolutional neural networks usually require a large dataset with manual annotations for …
H Tang, C Zhang, X Xie - … Conference, Shenzhen, China, October 13–17 …, 2019 - Springer
Pulmonary nodule detection, false positive reduction and segmentation represent three of the most common tasks in the computer aided analysis of chest CT images. Methods have …
Y Yeganeh, A Farshad, P Weinberger… - Proceedings of the …, 2023 - openaccess.thecvf.com
Although purely transformer-based architectures pretrained on large datasets are introduced as foundation models for general computer vision tasks, hybrid models that incorporate …
Z Shen, P Cao, J Yang, OR Zaiane - Computers in Biology and Medicine, 2023 - Elsevier
Computer-aided lung cancer diagnosis (CAD) system on computed tomography (CT) helps radiologists guide preoperative planning and prognosis assessment. The flexibility and …
Deep learning has emerged as a powerful tool for medical image analysis and diagnosis, demonstrating high performance on tasks such as cancer detection. This literature review …
W Cao, R Wu, G Cao, Z He - IEEE Access, 2020 - ieeexplore.ieee.org
Lung cancer is one of the malignant tumor diseases with the fastest increase in morbidity and mortality, which poses a great threat to human health. Low-Dose Computed …
Y Tian, Z Xu, Y Ma, W Ding, R Wang, Z Gao… - Neural Computing and …, 2023 - Springer
The task of multimodal cancer detection is to determine the locations and categories of lesions by using different imaging techniques, which is one of the key research methods for …