Deep Learning for Automated Egg Maturation Prediction of Atlantic Salmon Using Ultrasound Imaging-Reference-Cited by-同舟云学术

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Deep Learning for Automated Egg Maturation Prediction of Atlantic Salmon Using Ultrasound Imaging

Published:2024 Issue: Volume:12 Page:80233-80243
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yari Yasin¹^ORCID,Næve Ingun²^ORCID,Helge Bergtun Per³,Hammerdal Asle⁴,Måsøy Svein-Erik¹^ORCID,Marien Voormolen Marco⁵,Løvstakken Lasse¹^ORCID

Affiliation:

1. Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

2. Lerøy Seafood Group, Bergen, Norway

3. MOWI AS, Trondheim, Norway

4. AquaGen AS, Trondheim, Norway

5. InPhase Solutions AS, Trondheim, Norway

Funder

Centre for Innovative Ultrasound Solutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10547256.pdf?arnumber=10547256

Reference29 articles.

1. The power of genetics: Past and future contribution of balanced genetic selection to sustainable growth and productivity of the Norwegian Atlantic salmon (Salmo salar) industry

2. Ultrasound as a noninvasive tool for monitoring reproductive physiology in female Atlantic salmon (Salmo salar )

3. Ultrasound as a noninvasive tool for monitoring reproductive physiology in male Atlantic salmon ( Salmo salar )

4. IMAGE SEGMENTATION: A WATERSHED TRANSFORMATION ALGORITHM

5. Partitioning 3D surface meshes using watershed segmentation

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