An automated method to quantify the composition of live pigs based on computed tomography segmentation using deep neural networks

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

(2019) Nabil Ibtehaz et al.   NEURAL NETWORKS

Evaluation of an automatic lean meat percentage quantification method based on a partial volume model from computed tomography scans

(2018) Pau Xiberta et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Building an in vivo anatomical atlas to close the phenomic gap in animal breeding

(2016) Lars Erik Gangsei et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation of carcass composition and cut composition from computed tomography images of live growing pigs of different genotypes

(2014) Maria Font-i-Furnols et al.   Animal

Effects of low protein diets on pigs with a lean genotype 2. Compositional traits measured with computed tomography (CT)

(2013) N.R. Lambe et al.   MEAT SCIENCE

In vivo body composition in autochthonous and conventional pig breeding groups by dual-energy X-ray absorptiometry and magnetic resonance imaging under special consideration of Cerdo Ibérico

(2012) P. V. Kremer et al.   Animal

Rapid quantification of muscle fat content and subcutaneous adipose tissue in fish using MRI

(2012) Guylaine Collewet et al.   FOOD CHEMISTRY

Computed tomographic evaluation of abdominal fat in minipigs

(2011) Jinhwa Chang et al.   Journal of Veterinary Science

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

(2009) T. Heimann et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Prediction of salt and water content in dry-cured hams by computed tomography

(2009) E. Fulladosa et al.   JOURNAL OF FOOD ENGINEERING

Dual X-ray absorptiometry accurately predicts carcass composition from live sheep and chemical composition of live and dead sheep

(2008) K.L. Pearce et al.   MEAT SCIENCE