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问:基于深度学习的影像技术在脑科学中的应用 参考文献 不小于10篇
GPT答: 7i24.cn
1. Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.

2. Hosseini-Asl E.; Keynton R.; El-Baz A.. Alzheimer's Disease Neuroimaging Initiative (ADNI). Alzheimer's disease diagnostics by a deeply supervised adaptable 3D convolutional network with a novel unsupervised weight estimation mechanism [J]. Information Sciences.

3. Kamnitsas K.; Ledig C.; Newcombe V.F.J.. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation [J]. Medical Image Analysis.

4.Cireşan D.C.; Giusti A.; Gambardella L.M.. Mitosis detection in breast cancer histology images with deep neural networks [J]. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013.

5.Korolev S; Safiullin A; Belyaev M; Dodonova Y; Reshetov I; Kalinin AA Deep learning for brain MRI segmentation: state of the art and future directions[J] Journal of Digital Imaging

6.Suk H.I.; Lee S.W.. Fully convolutional neural networks for anatomical structure detection in MR images[J] IEEE Transactions on Medical Imaging

7.Shen D.Learning image representations from neuroimaging data using deep learning[J] Progress in Biomedical Optics and Imaging - Proceedings of SPIE

8.Zhang W.Detecting Anatomical Landmarks in Brain MRI Using Deep Neural Networks: An Evaluation of Training Strategies[J] Neuroinformatics

9.Brosch T.Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation[J] IEEE Transactions on Medical Imaging

10.Havaei M.Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?[J].IEEE Transactions on Medical Imaging
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 查下百度 查下必应 2024-05-27 16:27:20



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