Alaufi et al., 2024 - Google Patents
Challenges of deep learning diagnosis for COVID-19 from chest imagingAlaufi et al., 2024
View HTML- Document ID
- 5593227993274670699
- Author
- Alaufi R
- Kalkatawi M
- Abukhodair F
- Publication year
- Publication venue
- Multimedia Tools and Applications
External Links
Snippet
The COVID-19 pandemic has spread worldwide for over 2 years now. The pandemic raises a significant threat to global health due to its transmissibility and high pathogenicity. The current standard detection method for COVID-19, namely, reverse transcription–polymerase …
- 208000025721 COVID-19 0 title abstract description 218
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/321—Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/324—Management of patient independent data, e.g. medical references in digital format
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
- G06Q50/24—Patient record management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
- G06F21/6254—Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bai et al. | Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT | |
Islam et al. | A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19) | |
Dunnmon et al. | Assessment of convolutional neural networks for automated classification of chest radiographs | |
Serena Low et al. | An Overview of Deep Learning Techniques on Chest X‐Ray and CT Scan Identification of COVID‐19 | |
Sathyakumar et al. | Automated lung cancer detection using artificial intelligence (AI) deep convolutional neural networks: A narrative literature review | |
Ragab et al. | [Retracted] Multiclass Classification of Chest X‐Ray Images for the Prediction of COVID‐19 Using Capsule Network | |
Senan et al. | Automated diagnosis of chest X‐ray for early detection of COVID‐19 disease | |
Seibold et al. | Breaking with fixed set pathology recognition through report-guided contrastive training | |
López-Cabrera et al. | Current limitations to identify covid-19 using artificial intelligence with chest x-ray imaging (part ii). The shortcut learning problem | |
Alaufi et al. | Challenges of deep learning diagnosis for COVID-19 from chest imaging | |
Afshar et al. | Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network | |
Aria et al. | ADA‐COVID: Adversarial Deep Domain Adaptation‐Based Diagnosis of COVID‐19 from Lung CT Scans Using Triplet Embeddings | |
Nijiati et al. | Artificial intelligence assisting the early detection of active pulmonary tuberculosis from chest X-rays: A population-based study | |
Aziz et al. | Computer‐aided diagnosis of COVID‐19 disease from chest x‐ray images integrating deep feature extraction | |
Shetty et al. | Multimodal medical tensor fusion network-based DL framework for abnormality prediction from the radiology CXRs and clinical text reports | |
Shawly et al. | Biomedical diagnosis of leukemia using a deep learner classifier | |
Mithun et al. | Clinical concept-based radiology reports classification pipeline for lung carcinoma | |
Gupta et al. | Application of convolutional neural networks for COVID-19 detection in X-ray images using inceptionV3 and U-Net | |
Althenayan et al. | COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal | |
Chen et al. | VertXNet: an ensemble method for vertebral body segmentation and identification from cervical and lumbar spinal X-rays | |
Alshayeji et al. | Lung cancer classification and identification framework with automatic nodule segmentation screening using machine learning | |
Karaköse et al. | A New Approach for Effective Medical Deepfake Detection in Medical Images | |
Srujana et al. | Supply chain based demand analysis of different deep learning methodologies for effective covid-19 detection | |
AlZu’bi et al. | An intelligent healthcare monitoring system-based novel deep learning approach for detecting covid-19 from x-rays images | |
Kebede et al. | Dual view deep learning for enhanced breast cancer screening using mammography |