In vivo prediction of intramuscular fat using ultrasound and deep learning

Author:

Kvam Johannes,Kongsro Jørgen

Funder

Norwegian Research Council

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference11 articles.

1. Angelsen, B., 2000. Ultrasound imaging: waves, signals, and signal processing. 2. Propagation and scattering in heterogeneous, nonlinear tissue with contrast agent imaging and Doppler measurements, Ultrasound imaging, Emantec.

2. Estimating marbling score in live cattle from ultrasound images using pattern-recognition and neural-network procedures;Brethour;J. Anim. Sci.,1994

3. In vivo prediction of intramuscular fat in pigs using Computed Tomography;Kongsro;Open J. Anim. Sci. (OJAS),2013

4. Prediction of the intramuscular fat content in loin muscle of pig carcasses by quantitative time-resolved ultrasound;Lakshmanan;Meat Sci.,2012

5. Prediction of intramuscular fat content using CT scanning of packaged lamb cuts and relationships with meat eating quality;Lambe;Meat Sci.,2017

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