Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385693148> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W4385693148 abstract "Diffuse Optical Tomography (DOT) is an imaging method that utilizes near-infrared light to image the human body. The image is acquired by inverting a propagation model based on measuring the scattered fields. One of the most promising methods to solve DOT is deep learning, due to its high computational power and fast inference. However, the ill-posed nature of the problem and the non-uniqueness of its solution can pose challenges in learning the inverse transformation. To address these challenges, two main approaches are used: learning the forward mapping and then applying classical inversion techniques, or directly learning the inverse mapping. In this study, both approaches were applied on a realistic breast model to evaluate the impact of dataset size on the optimal technique for deep learning-based Diffuse Optical Tomography. The results showed that for the specific scenario the direct inversion approach was superior for large datasets (over 2K), improving the RMSE and CNR by 44% and 97% respectively. Conversely, the forward optimization approach was better for smaller datasets (150), improving both the RMSE and CNR by 10% and 67% respectively." @default.
- W4385693148 created "2023-08-10" @default.
- W4385693148 creator A5051220381 @default.
- W4385693148 creator A5053464598 @default.
- W4385693148 date "2023-08-09" @default.
- W4385693148 modified "2023-09-26" @default.
- W4385693148 title "Forward or backward? comparison of direct inversion and forward optimization techniques for DL-DOT" @default.
- W4385693148 doi "https://doi.org/10.1117/12.2671720" @default.
- W4385693148 hasPublicationYear "2023" @default.
- W4385693148 type Work @default.
- W4385693148 citedByCount "0" @default.
- W4385693148 crossrefType "proceedings-article" @default.
- W4385693148 hasAuthorship W4385693148A5051220381 @default.
- W4385693148 hasAuthorship W4385693148A5053464598 @default.
- W4385693148 hasConcept C105795698 @default.
- W4385693148 hasConcept C108583219 @default.
- W4385693148 hasConcept C109007969 @default.
- W4385693148 hasConcept C11413529 @default.
- W4385693148 hasConcept C134306372 @default.
- W4385693148 hasConcept C135252773 @default.
- W4385693148 hasConcept C139945424 @default.
- W4385693148 hasConcept C141379421 @default.
- W4385693148 hasConcept C145417883 @default.
- W4385693148 hasConcept C151730666 @default.
- W4385693148 hasConcept C154945302 @default.
- W4385693148 hasConcept C1893757 @default.
- W4385693148 hasConcept C207467116 @default.
- W4385693148 hasConcept C2524010 @default.
- W4385693148 hasConcept C2776214188 @default.
- W4385693148 hasConcept C33923547 @default.
- W4385693148 hasConcept C41008148 @default.
- W4385693148 hasConcept C86803240 @default.
- W4385693148 hasConceptScore W4385693148C105795698 @default.
- W4385693148 hasConceptScore W4385693148C108583219 @default.
- W4385693148 hasConceptScore W4385693148C109007969 @default.
- W4385693148 hasConceptScore W4385693148C11413529 @default.
- W4385693148 hasConceptScore W4385693148C134306372 @default.
- W4385693148 hasConceptScore W4385693148C135252773 @default.
- W4385693148 hasConceptScore W4385693148C139945424 @default.
- W4385693148 hasConceptScore W4385693148C141379421 @default.
- W4385693148 hasConceptScore W4385693148C145417883 @default.
- W4385693148 hasConceptScore W4385693148C151730666 @default.
- W4385693148 hasConceptScore W4385693148C154945302 @default.
- W4385693148 hasConceptScore W4385693148C1893757 @default.
- W4385693148 hasConceptScore W4385693148C207467116 @default.
- W4385693148 hasConceptScore W4385693148C2524010 @default.
- W4385693148 hasConceptScore W4385693148C2776214188 @default.
- W4385693148 hasConceptScore W4385693148C33923547 @default.
- W4385693148 hasConceptScore W4385693148C41008148 @default.
- W4385693148 hasConceptScore W4385693148C86803240 @default.
- W4385693148 hasLocation W43856931481 @default.
- W4385693148 hasOpenAccess W4385693148 @default.
- W4385693148 hasPrimaryLocation W43856931481 @default.
- W4385693148 hasRelatedWork W1603211005 @default.
- W4385693148 hasRelatedWork W2031116625 @default.
- W4385693148 hasRelatedWork W2062731242 @default.
- W4385693148 hasRelatedWork W2103441638 @default.
- W4385693148 hasRelatedWork W2130002602 @default.
- W4385693148 hasRelatedWork W2211496303 @default.
- W4385693148 hasRelatedWork W2380732627 @default.
- W4385693148 hasRelatedWork W2387902160 @default.
- W4385693148 hasRelatedWork W3005201057 @default.
- W4385693148 hasRelatedWork W3150938219 @default.
- W4385693148 isParatext "false" @default.
- W4385693148 isRetracted "false" @default.
- W4385693148 workType "article" @default.