Al Kheraif et al., 2019 - Google Patents
Detection of dental diseases from radiographic 2d dental image using hybrid graph-cut technique and convolutional neural networkAl Kheraif et al., 2019
- Document ID
- 11398458020766858559
- Author
- Al Kheraif A
- Wahba A
- Fouad H
- Publication year
- Publication venue
- Measurement
External Links
Snippet
In the present scenario the major oral health issues of man is crucial an area of research. The Data mining techniques, image processing, and Computational intelligence techniques are playing a vital role in biomedical research. Dental image processing helps to improve …
- 238000000034 method 0 title abstract description 50
Classifications
-
- 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
- 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
- G06T7/0014—Biomedical image inspection using an image reference approach
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Al Kheraif et al. | Detection of dental diseases from radiographic 2d dental image using hybrid graph-cut technique and convolutional neural network | |
Lee et al. | Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs | |
Silva et al. | Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives | |
Li et al. | Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection | |
Vinayahalingam et al. | Automated detection of third molars and mandibular nerve by deep learning | |
Patil et al. | Algorithmic analysis for dental caries detection using an adaptive neural network architecture | |
Kadry et al. | Extraction of abnormal skin lesion from dermoscopy image using VGG-SegNet | |
Tekin et al. | An enhanced tooth segmentation and numbering according to FDI notation in bitewing radiographs | |
Ghaedi et al. | An automated dental caries detection and scoring system for optical images of tooth occlusal surface | |
Haghanifar et al. | PaXNet: Tooth segmentation and dental caries detection in panoramic X-ray using ensemble transfer learning and capsule classifier | |
Kumar et al. | Semi-supervised OTSU based hyperbolic tangent Gaussian kernel fuzzy C-mean clustering for dental radiographs segmentation | |
Megalan Leo et al. | Dental caries classification system using deep learning based convolutional neural network | |
Kaur et al. | An automatic CAD system for early detection of lung tumor using back propagation network | |
Datta et al. | A novel technique for dental radiographic image segmentation based on neutrosophic logic | |
Vigil et al. | Detection of periodontal bone loss in mandibular area from dental panoramic radiograph using image processing techniques | |
Nazia Fathima et al. | A Survey on Osteoporosis Detection Methods with a Focus on X-ray and DEXA Images | |
Xu et al. | Artificial intelligence assisted identification of therapy history from periapical films for dental root canal | |
Huang et al. | Uncertainty-based active learning by bayesian U-Net for Multi-Label Cone-Beam CT segmentation | |
Widyaningrum et al. | Automatic segmentation of periapical radiograph using color histogram and machine learning for osteoporosis detection | |
Helli et al. | Tooth instance segmentation on panoramic dental radiographs using u-nets and morphological processing | |
Jaiswal et al. | An intelligent deep network for dental medical image processing system | |
Vamsha Deepa et al. | Feature extraction and classification of X-ray lung images using Haralick texture features | |
Vigil et al. | Classification of periodontitis stages in mandibular area from dental panoramic radiograph using adaptive center line-distance based image processing approach | |
Banu et al. | Texture based classification of dental cysts | |
Datta et al. | Neutrosophic set-based caries lesion detection method to avoid perception error |