Artificial intelligence in image-based screening, diagnostics, and clinical care of cardiopulmonary diseases
Cardiothoracic and pulmonary diseases are a significant cause of mortality and morbidity worldwide. The COVID-19 pandemic has highlighted the lack of access to clinical care, the overburdened medical system, and the potential of artificial intelligence (AI) in improving medicine. There are a variety...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Basel, Switzerland :
MDPI - Multidisciplinary Digital Publishing Institute
[2023]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009720430406719 |
Tabla de Contenidos:
- About the Editors vii
- Sivaramakrishnan Rajaraman and Sameer Antani Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases" Reprinted from: Diagnostics 2022, 12, 2615, doi:10.3390/diagnostics12112615 1
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- Guan-Hua Huang, Qi-Jia Fu, Ming-Zhang Gu, Nan-Han Lu, Kuo-Ying Liu and Tai-Been Chen Deep Transfer Learning for the Multilabel Classification of Chest X-ray Images Reprinted from: Diagnostics 2022, 12, 1457, doi:10.3390/diagnostics12061457 49
- Sivaramakrishnan Rajaraman, Peng Guo, Zhiyun Xue and Sameer K. Antani A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays Reprinted from: Diagnostics 2022, 12, 1442, doi:10.3390/diagnostics12061442 67
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- Jöran Rixen, Benedikt Eliasson, Benjamin Hentze, Thomas Muders, Christian Putensen, Steffen Leonhardt and Chuong Ngo A Rotational Invariant Neural Network for Electrical Impedance Tomography Imaging without Reference Voltage: RF-REIM-NET Reprinted from: Diagnostics 2022, 12, 777, doi:10.3390/diagnostics12040777 . 99
- Manohar Karki, Karthik Kantipudi, Feng Yang, Hang Yu, Yi Xiang J. Wang, Ziv Yaniv and Stefan Jaeger Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays Reprinted from: Diagnostics 2022, 12, 188, doi:10.3390/diagnostics12010188 . 115
- Philippe Germain, Armine Vardazaryan, Nicolas Padoy, Aissam Labani, Catherine Roy, Thomas Hellmut Schindler and Soraya El Ghannudi Deep Learning Supplants Visual Analysis by Experienced Operators for the Diagnosis of Cardiac Amyloidosis by Cine-CMR Reprinted from: Diagnostics 2022, 12, 69, doi:10.3390/diagnostics12010069 . 139
- Muhammad Attique Khan, Venkatesan Rajinikanth, Suresh Chandra Satapathy, David Taniar, Jnyana Ranjan Mohanty, Usman Tariq and Robertas Damaševiˇcius VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images Reprinted from: Diagnostics 2021, 11, 2208, doi:10.3390/diagnostics11122208 153
- Jasjit S. Suri, Sushant Agarwal, Pranav Elavarthi, Rajesh Pathak, Vedmanvitha Ketireddy, Marta Columbu, Luca Saba, et al. Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography Reprinted from: Diagnostics 2021, 11, 2025, doi:10.3390/diagnostics11112025 171
- Julia A. Mueller, Katharina Martini, Matthias Eberhard, Mathias A. Mueller, Alessandra A. De Silvestro, Philipp Breiding and Thomas Frauenfelder Diagnostic Performance of Dual-Energy Subtraction Radiography for the Detection of Pulmonary Emphysema: An Intra-Individual Comparison Reprinted from: Diagnostics 2021, 11, 1849, doi:10.3390/diagnostics11101849 207
- Dana Li, Lea Marie Pehrson, Carsten Ammitzbøl Lauridsen, Lea Tøttrup, Marco Fraccaro, Desmond Elliott, Hubert Dariusz Zaj ˛ac, et al. The Added Effect of Artificial Intelligence on Physicians' Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review Reprinted from: Diagnostics 2021, 11, 2206, doi:10.3390/diagnostics11122206 219.
