Convolutional neural network-based image enhancement for x-ray percutaneous coronary intervention-Reference-Cited by-同舟云学术

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Convolutional neural network-based image enhancement for x-ray percutaneous coronary intervention

Published:2018-06-28 Issue:02 Volume:5 Page:1
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Pavoni Marco¹,Chang Yongjun²,Park Sang-ho³,Smedby Orjan²

Affiliation:

1. Politecnico di Torino, Corso Duca degli Abruzzi, Torino

2. KTH Royal Institute of Technology MTH, Halsovagen, Huddinge

3. Soonchunhyang University, Cheonan Hospital, Division of Cardiology, Department of Internal Medicine,

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

Reference20 articles.

1. Global Overview of the Epidemiology of Atherosclerotic Cardiovascular Disease

2. Patient cumulative radiation exposure in interventional cardiology

3. Risk assessment for potential radiation-induced cancer after lung and bone marrow exposure during interventional cardiology procedures

4. The Renal Problems in X-Ray Based Imaging Techniques Using lodinated Radiographic Contrast Agents

5. Deep learning

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1. Breast Cancer Detection in Mammography using Faster Region Convolutional Neural Networks and Group Convolution;IETE Journal of Research;2024-05-14

2. Deep Learning Applications in Medical Image Analysis;Biomedical Data Mining for Information Retrieval;2021-08-06

3. New french diagnostic reference levels: Let's take stock of our daily practices!;Journal of Neuroradiology;2019-11

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