Jun 13, 2018 · This paper presents a supervised deep learn ing framework for automatically evaluating and grading the quality of TEE images. To obtain the ...
Two Convolutional Neural Network (CNN) architectures, AlexNet and VGG, structured to perform regression, were finetuned and validated on manually graded images ...
Sep 13, 2018 · This paper presents a supervised deep learning framework for automatically evaluating and grading the quality of TEE images.
Two Convolutional Neural Network (CNN) architectures, AlexNet and VGG, structured to perform regression, were finetuned and validated on manually graded images ...
Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks. Mazomenos, EB; Bansal, K; Martin, B; Smith, A ...
Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks ... Authors: Evangelos B. Mazomenos; Kamakshi Bansal ...
Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks ... Convolutional Neural Networks. Conference Paper.
Automated Performance Assessment in Transoesophageal Echocardiography With Convolutional Neural Networks. Lecture Notes in Computer Science - Germany.
Jan 2, 2024 · We developed a deep learning-based, multi-category TEE view classification model that can be used to add structure to intraoperative and intraprocedural TEE ...
Missing: Transoesophageal | Show results with:Transoesophageal
We developed deep neural networks for the automated assessment of echocardiographic frames that were randomly sampled from 11,262 adult patients. The private ...
Missing: Transoesophageal | Show results with:Transoesophageal