A convolutional neural network for automatic characterization of plaque composition in carotid ultrasound
K Lekadir, A Galimzianova, A Betriu… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Characterization of carotid plaque composition, more specifically the amount of lipid core,
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …
[PDF][PDF] A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
K Lekadir, A Galimzianova, A Betriu… - IEEE JOURNAL OF …, 2017 - stanford.edu
Characterization of carotid plaque composi-tion, more specifically the amount of lipid core,
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
K Lekadir, A Galimzianova, A Betriu… - IEEE journal of …, 2017 - pubmed.ncbi.nlm.nih.gov
Characterization of carotid plaque composition, more specifically the amount of lipid core,
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …
[HTML][HTML] A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
K Lekadir, A Galimzianova, À Betriu… - IEEE journal of …, 2017 - ncbi.nlm.nih.gov
Abstract Characterization of carotid plaque composition, more specifically the amount of lipid
core, fibrous tissue, and calcified tissue, is an important task for the identification of plaques …
core, fibrous tissue, and calcified tissue, is an important task for the identification of plaques …
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.
K Lekadir, A Galimzianova, A Betriu… - IEEE Journal of …, 2016 - europepmc.org
Abstract Characterization of carotid plaque composition, more specifically the amount of lipid
core, fibrous tissue, and calcified tissue, is an important task for the identification of plaques …
core, fibrous tissue, and calcified tissue, is an important task for the identification of plaques …
[PDF][PDF] A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
K Lekadir, A Galimzianova, A Betriu… - IEEE JOURNAL OF …, 2017 - academia.edu
Characterization of carotid plaque composi-tion, more specifically the amount of lipid core,
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …
[引用][C] A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
K Lekadir, A Galimzianova, A Betriu… - IEEE Journal of …, 2017 - cir.nii.ac.jp
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in
Carotid Ultrasound | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …
Carotid Ultrasound | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.
K Lekadir, A Galimzianova, A Betriu… - IEEE Journal of …, 2016 - europepmc.org
Abstract Characterization of carotid plaque composition, more specifically the amount of lipid
core, fibrous tissue, and calcified tissue, is an important task for the identification of plaques …
core, fibrous tissue, and calcified tissue, is an important task for the identification of plaques …