TLF: Triple learning framework for intracranial aneurysms segmentation from unreliable labeled CTA scans

Author:

Chai Lei,Xue ShuangqianORCID,Tang Daodao,Liu Jixin,Sun NingORCID,Liu Xiujuan

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Reference50 articles.

1. Literature review: Efficient deep neural networks techniques for medical image analysis;Abdou;Neural Comput. Appl.,2022

2. A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques;Ahmed;Prog. Biophys. Mol. Biol.,2023

3. Addressing class imbalance in semi-supervised image segmentation: A study on cardiac mri;Basak,2022

4. Basak, H., Yin, Z., 2023. Pseudo-label guided contrastive learning for semi-supervised medical image segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 19786–19797.

5. Using the polar transform for efficient deep learning-based aorta segmentation in CTA images;Benčević,2022

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