相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Review: Smart agri-systems for the pig industry
L. M. Collins et al.
ANIMAL (2022)
Ontology-Based IoT Middleware Approach for Smart Livestock Farming toward Agriculture 4.0: A Case Study for Controlling Thermal Environment in a Pig Facility
Eleni Symeonaki et al.
AGRONOMY-BASEL (2022)
The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming
Shunli Wang et al.
SENSORS (2022)
Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review
Guoming Li et al.
SENSORS (2021)
Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review
Yongliang Qiao et al.
ANIMALS (2021)
Classification of drinking and drinker-playing in pigs by a video-based deep learning method
Chen Chen et al.
BIOSYSTEMS ENGINEERING (2020)
Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs
Ali Alameer et al.
SCIENTIFIC REPORTS (2020)
A deep learning framework for unsupervised affine and deformable image registration
Bob D. de Vos et al.
MEDICAL IMAGE ANALYSIS (2019)
Precision Livestock Farming in Swine Welfare: A Review for Swine Practitioners
Madonna Benjamin et al.
ANIMALS (2019)
Automatic monitoring system for individual dairy cows based on a deep learning framework that provides identification via body parts and estimation of body condition score
Sun Yukun et al.
JOURNAL OF DAIRY SCIENCE (2019)
Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients
Max Blendowski et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2019)
Learning deep similarity metric for 3D MR-TRUS image registration
Grant Haskins et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2019)
Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning
Jake Cowton et al.
IEEE ACCESS (2019)
Multi-Camera Object Tracking via Deep Metric Learning
Wanggui He et al.
SIXTH INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2018) (2018)
Deep similarity learning for multimodal medical images
Xi Cheng et al.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION (2018)
Deep Learning in Medical Imaging: General Overview
June-Goo Lee et al.
KOREAN JOURNAL OF RADIOLOGY (2017)
Highly Accurate Fast Lung CT Registration
Jan Ruehaak et al.
MEDICAL IMAGING 2013: IMAGE PROCESSING (2013)
Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable
Torsten Rohlfing
IEEE TRANSACTIONS ON MEDICAL IMAGING (2012)
Global food demand and the sustainable intensification of agriculture
David Tilman et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2011)
elastix: A Toolbox for Intensity-Based Medical Image Registration
Stefan Klein et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2010)
Diffeomorphic demons: Efficient non-parametric image registration
Tom Vercauteren et al.
NEUROIMAGE (2009)
Speeded-Up Robust Features (SURF)
Herbert Bay et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2008)
分享论文
