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Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss
Research article (2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022) · cited 13× · AI/ML
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss
Summary
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss is a scholarly article[1].
Key Facts
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/bounding-box-based-weakly-supervised-deep-convolutional-neural-network-for-medical-image-segmentation-using-an-uncertain
MLA“Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bounding-box-based-weakly-supervised-deep-convolutional-neural-network-for-medical-image-segmentation-using-an-uncertain.
BibTeX@misc{4ortxyz_bounding-box-based-weakly-supervised-deep-convolutional-neural-network-for-medical-image-segmentation-using-an-uncertain_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss}}, year = {2026}, url = {https://4ort.xyz/entity/bounding-box-based-weakly-supervised-deep-convolutional-neural-network-for-medical-image-segmentation-using-an-uncertain}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss — https://4ort.xyz/entity/bounding-box-based-weakly-supervised-deep-convolutional-neural-network-for-medical-image-segmentation-using-an-uncertain (retrieved 2026-05-24)
