Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation
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DOI: 10.1016/j.csda.2019.106816
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- Zeng, Runtian & Song, Qiankun, 2024. "Mean-square exponential input-to-state stability for stochastic neutral-type quaternion-valued neural networks via Itô’s formula of quaternion version," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
- Amritanand Sebastian & Rahul Pendurthi & Azimkhan Kozhakhmetov & Nicholas Trainor & Joshua A. Robinson & Joan M. Redwing & Saptarshi Das, 2022. "Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- Francesco De Pretis & Jürgen Landes, 2021. "EA3: A softmax algorithm for evidence appraisal aggregation," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-23, June.
- Lihuan Guo & Wei Wang & Yenchun Jim Wu, 2023. "What Do Scholars Propose for Future COVID-19 Research in Academic Publications? A Topic Analysis Based on Autoencoder," SAGE Open, , vol. 13(2), pages 21582440231, June.
- Matthias Griebel & Dennis Segebarth & Nikolai Stein & Nina Schukraft & Philip Tovote & Robert Blum & Christoph M. Flath, 2023. "Deep learning-enabled segmentation of ambiguous bioimages with deepflash2," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
- Sun Ho Ro & Jie Gong, 2024. "Scalable approach to create annotated disaster image database supporting AI-driven damage assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(13), pages 11693-11712, October.
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Keywords
Aleatoric and epistemic uncertainty; Bayesian neural network; Ischemic stroke lesion segmentation; Retinal blood vessel segmentation; Uncertainty quantification;All these keywords.
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