Browsing NOFIMA vitenarkiv by Author "Syed, Shaheen"
Now showing items 1-8 of 8
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Application, limitations, costs and benefits related to the use of blockchain technology in the seafood industry
Olsen, Petter; Syed, Shaheen; Borit, Melania; Boéchat, Céline (Nofima rapportserie, Research report, 2022)This report was commissioned to outline applications, limitations, costs, and benefits related to the use of blockchain technology in the seafood industry, and in particular to evaluate the pros and cons of having a ... -
Applications, limitations, costs, and benefits related to the use of blockchain technology in the food industry
Olsen, Petter; Borit, Melania; Syed, Shaheen (Nofima rapportserie, Research report, 2019)This report was commissioned to outline applications, limitations, costs, and benefits related to the use of blockchain technology in the food industry, and in particular to evaluate the pros and cons of having a ... -
Characterization of vasskveite (water halibut) syndrome for automated detection
Ortega, Samuel; Ofstad, Ragni; Syed, Shaheen; Kranz, Mathias; Heia, Karsten; Anderssen, Kathryn Elizabeth (Peer reviewed; Journal article, 2023)In recent years, cases of vasskveite (water halibut) syndrome in halibut have been increasing. At the moment, there exists no way to screen for the syndrome immediately after capture, which is problematic for both exporters ... -
Diffusion tensor imaging for spatially-resolved characterization of muscle fiber structure in seafood
Anderssen, Kathryn Elizabeth; Kranz, Mathias; Syed, Shaheen; Stormo, Svein Kristian (Peer reviewed; Journal article, 2022)The fiber structure of tissue in meat and seafood has a significant impact on their perceived quality. However, quantifiable description of muscle structure is challenging. We investigate diffusion tensor imaging (DTI) ... -
Diffusion tensor imaging for spatially-resolved characterization of muscle fiber structure in seafood
Anderssen, Kathryn Elizabeth; Kranz, Mathias; Syed, Shaheen; Stormo, Svein Kristian (Peer reviewed; Journal article, 2022)The fiber structure of tissue in meat and seafood has a significant impact on their perceived quality. However, quantifiable description of muscle structure is challenging. We investigate diffusion tensor imaging (DTI) ... -
Hyperspectral imaging and deep learning for parasite detection in white fish under industrial conditions
Syed, Shaheen; Ortega, Samuel; Anderssen, Kathryn Elizabeth; Nilsen, Heidi; Heia, Karsten (Peer reviewed; Journal article, 2024)Parasites in fish muscle present a significant problem for the seafood industry in terms of both quality and health and safety, but the low contrast between parasites and fish tissue makes them exceedingly difficult to ... -
Quantification and mapping of tissue damage from freezing in cod by magnetic resonance imaging
Anderssen, Kathryn Elizabeth; Syed, Shaheen; Stormo, Svein Kristian (Peer reviewed; Journal article, 2021)Freezing of fish is an important processing method that can extend the shelf life of the product but can also lead to significant damage to the tissue if performed incorrectly. In order to thoroughly evaluate different ... -
Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries
Syed, Shaheen; Anderssen, Kathryn Elizabeth; Stormo, Svein Kristian; Kranz, Mathias (Peer reviewed; Journal article, 2023)