[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Machado, 2023 - Google Patents

Mandible-focused osteoporosis risk assessment using dental panoramic radiography and artificial intelligence models

Machado, 2023

View PDF
Document ID
16383060057386625922
Author
Machado L
Publication year

External Links

Snippet

Osteoporosis is a systemic disease that provokes bone mineral density (BMD) losses that eventually cause severe bone fractures. Since it is a silent disease, many are diagnosed only after fractures. Several opportunistic image-based diagnoses are being investigated in …
Continue reading at www.teses.usp.br (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-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
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321Management 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-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
    • G06F19/3437Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Health care, e.g. hospitals; Social work
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0031Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
    • G06T3/0037Reshaping or unfolding a 3D tree structure onto a 2D plane

Similar Documents

Publication Publication Date Title
Pandey et al. A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions
US11646119B2 (en) Systems and methods for automated analysis of medical images
Xie et al. Computer‐Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs
Oza et al. A bottom-up review of image analysis methods for suspicious region detection in mammograms
WO2022221712A1 (en) Detecting, scoring and predicting disease risk using multiple medical-imaging modalities
Feng et al. Deep learning for chest radiology: a review
Vasdev et al. Periapical dental X-ray image classification using deep neural networks
Ammar et al. ViT-TB: ensemble learning based ViT model for tuberculosis recognition
SinhaRoy et al. A Hybrid Deep Learning Framework to Predict Alzheimer’s Disease Progression using generative adversarial networks and deep convolutional neural networks
Chen et al. Deep learning-based tooth segmentation methods in medical imaging: A review
Singh et al. Semantic segmentation of bone structures in chest X-rays including unhealthy radiographs: A robust and accurate approach
Machado Mandible-focused osteoporosis risk assessment using dental panoramic radiography and artificial intelligence models
Cheng et al. Dr. Pecker: A Deep Learning-Based Computer-Aided Diagnosis System in Medical Imaging
Brahmi et al. Exploring the role of Convolutional Neural Networks (CNN) in dental radiography segmentation: A comprehensive Systematic Literature Review
Raju et al. EnsemDeepCADx: Empowering Colorectal Cancer Diagnosis with Mixed-Dataset Features and Ensemble Fusion CNNs on Evidence-Based CKHK-22 Dataset
Waseem Sabir et al. FibroVit—Vision transformer-based framework for detection and classification of pulmonary fibrosis from chest CT images
Khan Artificial Intelligence in Radiology
Tabrizi Semantic segmentation of medical images with deep learning
Kovalev et al. Automatic detection of pathological changes in chest X-ray screening images using deep learning methods
Hsu et al. Using deep neural network approach for multiple-class assessment of digital mammography
Biswas et al. A Beginner's Guide to Medical Application Development with Deep Convolutional Neural Networks
Liang et al. Uncertainty analysis based attention network for lung nodule segmentation from CT images
Biswas et al. Explainable AI for Healthcare Diagnosis in Renal Cancer
Sukswai et al. The accuracy of deep learning models for diagnosing maxillary fungal ball rhinosinusitis
Hibi Development of Multimodal Machine Learning-Based Prognostic Models for Traumatic Brain Injury Using Clinical Data and Computed Tomography Scans