Page for Brain Tumor Project in Semester 111-1 and 111-2

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Zhou, Z., Rahman Siddiquee, M.M., Tajbakhsh, N., Liang, J. (2018). UNet++: A Nested U-Net Architecture for Medical Image Segmentation. In: Stoyanov, D., et al. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. DLMIA ML-CDS 2018 2018. Lecture Notes in Computer Science(), vol 11045. Springer, Cham.

https://doi.org/10.1007/978-3-030-00889-5_1

Jiang, Z., Ding, C., Liu, M., Tao, D. (2020). Two-Stage Cascaded U-Net: 1st Place Solution to BraTS Challenge 2019 Segmentation Task. In: Crimi, A., Bakas, S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2019. Lecture Notes in Computer Science(), vol 11992. Springer, Cham.

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