Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans-Reference-Cited by-同舟云学术

Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans

Published:2021 Issue: Volume: Page:168-178
ISSN:0302-9743
Container-title:Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
language:
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Author:

Awasthi Navchetan^ORCID,Pardasani Rohit^ORCID,Gupta Swati^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-72087-2_15

Reference22 articles.

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3. Awasthi, N., Jain, G., Kalva, S.K., Pramanik, M., Yalavarthy, P.K.: Deep neural network based sinogram super-resolution and bandwidth enhancement for limited-data photoacoustic tomography. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 67(12), 2660–2673 (2020)

4. Awasthi, N., Pardasani, R., Kalva, S.K., Pramanik, M., Yalavarthy, P.K.: Sinogram super-resolution and denoising convolutional neural network (SRCN) for limited data photoacoustic tomography. arXiv preprint arXiv:2001.06434 (2020)

5. Awasthi, N., Prabhakar, K.R., Kalva, S.K., Pramanik, M., Babu, R.V., Yalavarthy, P.K.: PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics. Biomed. Opt. Express 10(5), 2227–2243 (2019)

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