We would like to contribute with 3 refactored networks codes in MONAI
DAF3D:
Wang, Y., Dou, H., Hu, X., Zhu, L., Yang, X., Xu, M., ... & Ni, D. (2019). Deep attentive features for prostate segmentation in 3D transrectal ultrasound. IEEE transactions on medical imaging, 38(12), 2768-2778.
https://github.com/wulalago/DAF3D/blob/master/README.md
QuickNAT:
Roy, A. G., Conjeti, S., Navab, N., Wachinger, C., & Alzheimer's Disease Neuroimaging Initiative. (2019). QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage, 186, 713-727.
https://www.sciencedirect.com/science/article/abs/pii/S1053811918321232
IFSSnet:
Al Chanti, D., Duque, V. G., Crouzier, M., Nordez, A., Lacourpaille, L., & Mateus, D. (2021). IFSS-Net: Interactive few-shot siamese network for faster muscle segmentation and propagation in volumetric ultrasound. IEEE transactions on medical imaging, 40(10), 2615-2628.
https://hal.science/hal-03197457/document
We would like to contribute with 3 refactored networks codes in MONAI
DAF3D: Wang, Y., Dou, H., Hu, X., Zhu, L., Yang, X., Xu, M., ... & Ni, D. (2019). Deep attentive features for prostate segmentation in 3D transrectal ultrasound. IEEE transactions on medical imaging, 38(12), 2768-2778. https://github.com/wulalago/DAF3D/blob/master/README.md
QuickNAT: Roy, A. G., Conjeti, S., Navab, N., Wachinger, C., & Alzheimer's Disease Neuroimaging Initiative. (2019). QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage, 186, 713-727. https://www.sciencedirect.com/science/article/abs/pii/S1053811918321232
IFSSnet: Al Chanti, D., Duque, V. G., Crouzier, M., Nordez, A., Lacourpaille, L., & Mateus, D. (2021). IFSS-Net: Interactive few-shot siamese network for faster muscle segmentation and propagation in volumetric ultrasound. IEEE transactions on medical imaging, 40(10), 2615-2628. https://hal.science/hal-03197457/document