In vivo prediction of intramuscular fat using ultrasound and deep learning-Reference-Cited by-同舟云学术

In vivo prediction of intramuscular fat using ultrasound and deep learning

Published:2017-11 Issue: Volume:142 Page:521-523
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

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

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PIMFP: An accurate tool for the prediction of intramuscular fat percentage in live pigs using ultrasound images based on deep learning;Computers and Electronics in Agriculture;2024-02

2. Estimation of Beef Marbling Standard for Live Cattle Using Multi-input CNN with Ultrasound Images and Individual Cattle Information;2023 IEEE 12th Global Conference on Consumer Electronics (GCCE);2023-10-10

3. Estimating backfat depth, loin depth, and intramuscular fat percentage from ultrasound images in swine;animal;2023-10

4. 808. Development of an automatic method to estimate IMF for fattening pigs in breeding program;Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP);2022-12-31

5. 401. Using a U-net architecture to develop an automated ultrasound images analysis method in a rabbit breeding program;Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP);2022-12-31