A Deep Learning-Based Approach with Image-Driven Active Contour Loss for Medical Image Segmentation
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Springer Singapore
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https://link.springer.com/content/pdf/10.1007/978-981-16-5120-5_1
Reference31 articles.
1. D.-P. Fan et al., Pranet: parallel reverse attention network for polyp segmentation, in International Conference on Medical Image Computing and Computer-Assisted Intervention (Springer, 2020), pp. 263–273
2. A. Sinha, J. Dolz, Multi-scale self-guided attention for medical image segmentation. IEEE J. Biomed. Health Inform. (2020)
3. Z. Zhou, M.M.R. Siddiquee, N. Tajbakhsh, J. Liang, Unet++: redesigning skip connections to exploit multiscale features in image segmentation. IEEE Trans. Med. Imaging 39(6), 1856–1867 (2019)
4. T. Zhou, S. Ruan, S. Canu, A review: deep learning for medical image segmentation using multi-modality fusion. Array 3, 100004 (2019)
5. V.T. Pham, T.T. Tran, P.C. Wang, M.T. Lo, Tympanic membrane segmentation in otoscopic images based on fully convolutional network with active contour loss. Signal Image Video Process. (2020). https://doi.org/10.1007/s11760-020-01772-7
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