Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Reference63 articles.
1. Tran ST, Cheng CH, Nguyen TT, Le MH, Liu DG (2021) TMD-Unet: Triple-Unet with Multi-Scale Input Features and Dense Skip Connection for Medical Image Segmentation. Healthcare 9(1):54–73. https://doi.org/10.3390/healthcare9010054
2. NH Narayana Health, Health for all, All for health, NH CARES Brain Tumour, Types, Risk Factors, Symptoms, and Surgery. Available online: https://www.narayanahealth.org/brain-tumour
3. Zhao X, Wu Y, Song G, Li Z, Zhang Y, Fan Y (2018) A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. Med Image Anal 43:98–111. https://doi.org/10.1016/j.media.2017.10.002
4. Bauer S, Wiest R, Nolte LP, Reyes M (2013) A survey of MRI-based medical image analysis for brain tumor studies. Phys Med Biol 58(13):97–140
5. Kamnitsas K, Ledig C, Newcombe VF, Simpson JP, Kane AD, Menon DK, Glocker B (2017) Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Med Image Anal 36:61–78. https://doi.org/10.1016/j.media.2016.10.004
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献