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Detection and analysis of COVID-19 in medical images using deep learning techniques
The main purpose of this work is to investigate and compare several deep learning
enhanced techniques applied to X-ray and CT-scan medical images for the detection of …
enhanced techniques applied to X-ray and CT-scan medical images for the detection of …
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images
Congenital heart disease (CHD) is the most common type of birth defect. Without timely
detection and treatment, approximately one-third of children with CHD would die in the infant …
detection and treatment, approximately one-third of children with CHD would die in the infant …
Individualized treatment decision model for inoperable elderly esophageal squamous cell carcinoma based on multi-modal data fusion
Y Huang, X Huang, A Wang, Q Chen, G Chen… - BMC Medical Informatics …, 2023 - Springer
Background This research aimed to develop a model for individualized treatment decision-
making in inoperable elderly patients with esophageal squamous cell carcinoma (ESCC) …
making in inoperable elderly patients with esophageal squamous cell carcinoma (ESCC) …
Multimodal risk prediction with physiological signals, medical images and clinical notes
The broad adoption of electronic health record (EHR) systems brings us a tremendous
amount of clinical data and thus provides opportunities to conduct data-based healthcare …
amount of clinical data and thus provides opportunities to conduct data-based healthcare …
A novel approach for multi-CHD prediction using IW-LNEF-DJRNN model based on 3D CT images
Abstract Congenital Heart Disease (CHD), which affects humans, is a general birth defect.
For preventing the risk of severe affection, CHD's diagnosis and monitoring are significant. In …
For preventing the risk of severe affection, CHD's diagnosis and monitoring are significant. In …
Building a risk prediction model for postoperative pulmonary vein obstruction via quantitative analysis of CTA Images
Y Pei, G Shi, W **a, C Wen, D Sun… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Total anomalous pulmonary venous connection (TAPVC) is a rare but mortal congenital
heart disease in children and can be repaired by surgical operations. However, some …
heart disease in children and can be repaired by surgical operations. However, some …
Multi-modal data fusion for land-subsidence image improvement in PSInSAR analysis
K Shimosato, N Ukita - IEEE Access, 2021 - ieeexplore.ieee.org
There are three popular methods to understand the land subsidence: leveling, Global
Navigation Satellite System, and Interferometric Synthetic Aperture Radar (InSAR) analysis …
Navigation Satellite System, and Interferometric Synthetic Aperture Radar (InSAR) analysis …
Multi-modal Medical Data Fusion using Deep Learning
D Haritha, B Sandhya - 2022 9th International Conference on …, 2022 - ieeexplore.ieee.org
Various modalities, each with a characteristic feature, have evolved over the years in the
medical domain to aid the identification and diagnosis of the diseases. The focus of research …
medical domain to aid the identification and diagnosis of the diseases. The focus of research …
Diagnosing skin lesion using multi-modal analysis
R Nijhawan, D Bhatnagar, S Roy - 2022 5th International …, 2022 - ieeexplore.ieee.org
The vast expansion of modalities in the medical field has helped identify and cure many
diseases. Each modality has its specific characteristic feature. Multi-modal data analysis …
diseases. Each modality has its specific characteristic feature. Multi-modal data analysis …
Anatomical attention-based prediction of postoperative pulmonary venous obstruction via CTA images
Total anomalous pulmonary venous connection (TAPVC) is a rare congenital heart disease,
with which some patients suffer from postoperative pulmonary venous obstruction (PPVO) …
with which some patients suffer from postoperative pulmonary venous obstruction (PPVO) …