van Ginneken et al., 2009 - Google Patents
Computer-aided diagnosis in chest radiography: Beyond nodulesvan Ginneken et al., 2009
View PDF- Document ID
- 4166719588344969996
- Author
- van Ginneken B
- Hogeweg L
- Prokop M
- Publication year
- Publication venue
- European journal of radiology
External Links
Snippet
Chest radiographs are the most common exam in radiology. They are essential for the management of various diseases associated with high mortality and morbidity and display a wide range of findings, many of them subtle. In this survey we identify a number of areas …
- 210000000038 chest 0 title abstract description 83
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
- 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
- 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
- G06T2207/10104—Positron emission tomography [PET]
-
- 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
- G06T2207/20092—Interactive image processing based on input by user
-
- 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
- G06T2207/20156—Automatic seed setting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0031—Geometric 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
- G06T3/0037—Reshaping or unfolding a 3D tree structure onto a 2D plane
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| van Ginneken et al. | Computer-aided diagnosis in chest radiography: Beyond nodules | |
| Pu et al. | Automated quantification of COVID-19 severity and progression using chest CT images | |
| England et al. | Artificial intelligence for medical image analysis: a guide for authors and reviewers | |
| Bogoni et al. | Impact of a computer-aided detection (CAD) system integrated into a picture archiving and communication system (PACS) on reader sensitivity and efficiency for the detection of lung nodules in thoracic CT exams | |
| Giger et al. | Computer-aided diagnosis | |
| Giger et al. | Anniversary paper: history and status of CAD and quantitative image analysis: the role of medical physics and AAPM | |
| Acharya et al. | A deep learning based approach towards the automatic diagnosis of pneumonia from chest radio-graphs | |
| Yoshida et al. | CAD techniques, challenges, andcontroversies in computed tomographic colonography | |
| Ko et al. | Chest CT: automated nodule detection and assessment of change over time—preliminary experience | |
| Tan et al. | Computer-assisted diagnosis of tuberculosis: a first order statistical approach to chest radiograph | |
| England et al. | Detection of traumatic pediatric elbow joint effusion using a deep convolutional neural network | |
| Kozuka et al. | Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography | |
| Candemir et al. | Automatic heart localization and radiographic index computation in chest x-rays | |
| Abo-El-Rejal et al. | Advances in breast cancer segmentation: A comprehensive review | |
| Kang et al. | Automated knowledge‐based detection of nonobstructive and obstructive arterial lesions from coronary CT angiography | |
| Wang et al. | Automated lung segmentation in digital chest tomosynthesis | |
| Kim et al. | Longitudinal quantitative assessment of covid-19 infection progression from chest cts | |
| Vamsha Deepa et al. | Feature extraction and classification of X-ray lung images using haralick texture features | |
| Buty et al. | Quantitative image quality comparison of reduced-and standard-dose dual-energy multiphase chest, abdomen, and pelvis CT | |
| Paramasamy et al. | Validation of a commercially available CAD-system for lung nodule detection and characterization using CT-scans | |
| Cai et al. | MDCT for computerized volumetry of pneumothoraces in pediatric patients | |
| Taylor et al. | CT colonography and computer-aided detection: effect of false-positive results on reader specificity and reading efficiency in a low-prevalence screening population | |
| Mohd Noor et al. | Segmentation of the lung anatomy for high resolution computed tomography (HRCT) thorax images | |
| Suzuki | Pixel-based machine learning in computer-aided diagnosis of lung and colon cancer | |
| Parascandolo et al. | Computer aided diagnosis: state-of-the-art and application to musculoskeletal diseases |