The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
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Citations
Cites
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404
Road Extraction by Deep Residual U-Net
Zhang, Z., Liu, Q., & Wang, Y. (2018) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2018.2802944 · Cited by 3,179
Bernal, J., Sánchez, F. J., Fernández-Esparrach, G., Gil, D., Rodríguez, C., & Vilariño, F. (2015) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2015.02.007 · Cited by 2,191
Cited by
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wang, W., Xie, E., Li, X., Fan, D.-P., Song, K., Liang, D., Lu, T., Luo, P., & Shao, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00061 · Cited by 5,259
“, OCR [67, 65, 68], 3D [27, 10, 26] and medical [14, 15, 28] image analysis) to be explored in the future, and hope that PVT could serve as a good starting point.”
BackgroundSelf-citationInf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
Fan, D.-P., Zhou, T., Ji, G.-P., Zhou, Y., Chen, G., Fu, H., Shen, J., & Shao, L. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2996645 · Cited by 1,259
Self-citationRGB-D salient object detection: A survey
Zhou, T., Fan, D.-P., Cheng, M.-M., Shen, J., & Shao, L. (2021) · Computational Visual Media · doi:10.1007/s41095-020-0199-z · Cited by 331
Self-citationFocus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy
Yeung, M., Sala, E., Schönlieb, C.-B., & Rundo, L. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104815 · Cited by 186
Distribution-free, Risk-controlling Prediction Sets
Bates, S., Angelopoulos, A., Lei, L., Malik, J., & Jordan, M. (2021) · Journal of the ACM · doi:10.1145/3478535 · Cited by 144
“We used PraNet [54] as our base segmentation model.”
Method
Metadata
- Authors
- Fan, D.-P., Ji, G.-P., Zhou, T., Chen, G., Fu, H., Shen, J., & Shao, L.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 263-273
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3092344722
- Cited by
- 1,499
- References
- 3
- FWCI
- 268.83
- Type
- conference paper
- Language
- en
- Open access
- green
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- Fan, D.-P., Ji, G.-P., Zhou, T., Chen, G., Fu, H., Shen, J., & Shao, L. (2020). PraNet: Parallel Reverse Attention Network for Polyp Segmentation. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-59725-2_26
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