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Brain tumor image segmentation based on convolution neural network.

, , and . CISP-BMEI, page 1402-1406. IEEE, (2016)

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The PCA-Demons Algorithm for Medical Image Registration., and . IIH-MSP, page 207-210. IEEE, (2014)Brain tumor image segmentation based on convolution neural network., , and . CISP-BMEI, page 1402-1406. IEEE, (2016)Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations., and . Comput. Math. Methods Medicine, (2015)Trinity: Enabling Self-Sustaining WSNs Indoors with Energy-Free Sensing and Networking., , , , , and . ACM Trans. Embed. Comput. Syst., 17 (2): 57:1-57:27 (2018)Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia., , , , and . Remote. Sens., 12 (8): 1337 (2020)Multiscale CNNs for Brain Tumor Segmentation and Diagnosis., and . Comput. Math. Methods Medicine, (2016)Assessing the Long-Term Evolution of Abandoned Salinized Farmland via Temporal Remote Sensing Data., , , and . Remote. Sens., 13 (20): 4057 (2021)Powering indoor sensing with airflows: a trinity of energy harvesting, synchronous duty-cycling, and sensing., , , , , , and . SenSys, page 16:1-16:14. ACM, (2013)Performance Enhancement of an Aeroelastic Energy Harvester for Efficient Power Harvesting from Concurrent Wind Flows and Base Vibrations.. AIM, page 780-785. IEEE, (2018)Deep Feature Learning with Discrimination Mechanism for Brain Tumor Segmentation and Diagnosis., and . IIH-MSP, page 306-309. IEEE, (2015)