A novel enhanced normalization technique for a mandible bones segmentation using deep learning: batch normalization with the dropout
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13399-6.pdf
Reference16 articles.
1. Aslani S, Dayan M, Storelli L, Filippi M, Murino V, Rocca M, Sona D (2019)Multi-branch convolutional neural network for multiple sclerosis lesion segmentation. NeuroImage 196:1–15
2. Chmelik J, Jakubicek R, Walek P, Jan J, Ourednicek P, Lambert (2018) Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data,. Med Image Anal 49:76–88
3. Fritscher K, Peroni M, Zaffino P, Spadea M, Schubert R, Sharp G (2014) Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours. Med Phys 41(5):051910
4. Girshick R, Donahue J, Darrell T, Malik J (2016)Region-based convolutional networks for accurate object detection and segmentation. IEEE Trans Pattern Anal Mach Intell 38(1):142–158
5. Havaei M, Davy A, Warde-Farley D, Biard A, Courville A, Bengio Y (2017) Brain tumor segmentation with Deep Neural Networks,. Med Image Anal 35:18–31
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