IEViT: An enhanced vision transformer architecture for chest X-ray image classification
出版年份 2022 全文链接
标题
IEViT: An enhanced vision transformer architecture for chest X-ray image classification
作者
关键词
-
出版物
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume 226, Issue -, Pages 107141
出版商
Elsevier BV
发表日期
2022-09-16
DOI
10.1016/j.cmpb.2022.107141
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Study on transfer learning capabilities for pneumonia classification in chest-x-rays images
- (2022) Danilo Avola et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Early severity prediction of BPD for premature infants from chest X-ray images using deep learning: A study at the 28th day of oxygen inhalation
- (2022) Wenyu Xing et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Medical deep learning—A systematic meta-review
- (2022) Jan Egger et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning
- (2022) Arman Haghanifar et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
- (2021) Tawsifur Rahman et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Extreme Learning Machine based Differentiation of Pulmonary Tuberculosis in Chest Radiographs using Integrated Local Feature Descriptors
- (2021) Satyavratan Govindarajan et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep learning for chest X-ray analysis: A survey
- (2021) Erdi Çallı et al. MEDICAL IMAGE ANALYSIS
- On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays
- (2021) Gabriel Iluebe Okolo et al. SENSORS
- TBNet: a context-aware graph network for tuberculosis diagnosis
- (2021) Si-Yuan Lu et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study
- (2020) Eui Jin Hwang et al. EUROPEAN RADIOLOGY
- Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography
- (2020) Xiaohua Wang et al. OCCUPATIONAL AND ENVIRONMENTAL MEDICINE
- Deep Learning–based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs
- (2020) Sowon Jang et al. RADIOLOGY
- Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness
- (2020) Jae Hyun Kim et al. Journal of Clinical Medicine
- COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
- (2020) Rodolfo M. Pereira et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A transfer learning method with deep residual network for pediatric pneumonia diagnosis
- (2019) Gaobo Liang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
- (2019) F. Pasa et al. Scientific Reports
- An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks
- (2019) Johnatan Carvalho Souza et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images
- (2019) Hamed Behzadi-khormouji et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound
- (2019) Yi Wang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
- (2018) Daniel S. Kermany et al. CELL
- Deep learning for healthcare applications based on physiological signals: A review
- (2018) Oliver Faust et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep Learning Applications in Medical Image Analysis
- (2018) Justin Ker et al. IEEE Access
- Computer-aided detection in chest radiography based on artificial intelligence: a survey
- (2018) Chunli Qin et al. Biomedical Engineering Online
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Medical image segmentation on GPUs – A comprehensive review
- (2015) Erik Smistad et al. MEDICAL IMAGE ANALYSIS
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