D2-RecST: Dual-domain joint reconstruction strategy for fluorescence molecular tomography based on image domain and perception domain

Research article (Computer Methods and Programs in Biomedicine, 2022) · cited 10× · AI/ML
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D2-RecST: Dual-domain joint reconstruction strategy for fluorescence molecular tomography based on image domain and perception domain

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D2-RecST: Dual-domain joint reconstruction strategy for fluorescence molecular tomography based on image domain and perception domain is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). D2-RecST: Dual-domain joint reconstruction strategy for fluorescence molecular tomography based on image domain and perception domain. Retrieved May 24, 2026, from https://4ort.xyz/entity/d2-recst-dual-domain-joint-reconstruction-strategy-for-fluorescence-molecular-tomography-based-on-image-domain-and-perce
MLA “D2-RecST: Dual-domain joint reconstruction strategy for fluorescence molecular tomography based on image domain and perception domain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/d2-recst-dual-domain-joint-reconstruction-strategy-for-fluorescence-molecular-tomography-based-on-image-domain-and-perce.
BibTeX @misc{4ortxyz_d2-recst-dual-domain-joint-reconstruction-strategy-for-fluorescence-molecular-tomography-based-on-image-domain-and-perce_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{D2-RecST: Dual-domain joint reconstruction strategy for fluorescence molecular tomography based on image domain and perception domain}}, year = {2026}, url = {https://4ort.xyz/entity/d2-recst-dual-domain-joint-reconstruction-strategy-for-fluorescence-molecular-tomography-based-on-image-domain-and-perce}, note = {Accessed: 2026-05-24}}
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