Development of CAD for Retinal Fundus Images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
スポンサーリンク
概要
- 論文の詳細を見る
Retinal fundus images are useful for the early detection of a number of ocular diseases. Examinations using retinal fundus images are cost effective and suitable for mass screening. In view of this, the fundus is examined selectively in the diagnosis performed by physicians as part of a specific health checkup scheme initiated in April 2008. The increase in the number of ophthalmic examinations improves ocular health care in the population, but it also increases the workload of ophthalmologists. Computer-aided diagnosis (CAD) systems developed for analyzing retinal fundus images can assist in reducing the workload and improving the screening accuracy. This paper describes our CAD system aimed at detection and analysis of ocular diseases such as diabetic retinopathy, hypertensive retinopathy, and glaucoma using retinal fundus images.
- 2009-01-12
著者
-
Fujita Hiroshi
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
-
FUJITA Hiroshi
Graduate School of Medicine, Gifu University
-
Hatanaka Yuji
School Of Engineering The University Of Shiga Prefecture
-
FUKUTA Keisuke
Graduate School of Medicine, Gifu University
-
MURAMATSU Chisako
Graduate School of Medicine, Gifu University
-
NAKAGAWA Toshiaki
Kowa Company., Ltd.
-
FUKUTA Keisuke
Dept. of Intelligent Image Information, Graduate School of Medicine, Gifu University
-
Hayashi Yoshinori
Tak Co. Ltd.
-
Fujita H
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
-
Fujita Hiroshi
Dept. Of Intelligent Image Information Graduate School Of Medicine Gifu University
-
Fukuta Keisuke
Dept. Of Intelligent Image Information Graduate School Of Medicine Gifu University
-
Nakagawa Toshiaki
Kowa Company Ltd.
-
MIZUTANI Atsushi
Graduate School of Medicine, Gifu University
-
IWASE Tastuhiko
Graduate School of Medicine, Gifu University
-
NONOGAKI Hiroshi
Gifu National College of Technology
-
KITAGAWA Teruhiko
Gifu National College of Technology
-
Iwase Tastuhiko
Graduate School Of Medicine Gifu University
-
Mizutani Atsushi
Graduate School Of Medicine Gifu University
-
Fujita Hiroshi
Graduate School Of Medicine Gifu University
-
Muramatsu Chisako
Dept. Of Intelligent Image Information Graduate School Of Medicine Gifu University
関連論文
- Computer-aided Detection for Spiculated Architectural Distortion on Mammograms(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- Performance Evaluation of a CAD System for Detecting Masses on Mammograms by Using the MIAS Database
- Brain CT Scoring Method Using Normal CT Scans to Detect Bain Damage for Emergency Medical Care(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- Development of whole breast ultrasound system with CAD function(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- Model Generation with Boolean Constraints
- An improved powell method for registration of MRI and MRA (医用画像)
- Automated Shape Analysis of Optic Disc on Retinal Fundus Images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- Cup Region Extraction of Optic Nerve Head for Three-Dimensional Retinal Fundus Image
- Computer-aided Diagnosis for Detection of Lacunar Infarcts in MR Images
- Automated body cavity extraction and recognition based on non-contrast torso CT images(Joint Session 2)
- Automated Computerized Detection of Unruptured Intracranial Aneurysms in MRA images(Joint Session 1)
- Improving the Detection of Microcalcifications in Masses by Artificial Neural Networks
- Automated Detection of Mammographic Masses in MIAS Database
- Investigation of the Glaucoma Risk Assessment Based on the Clinical Data Obtained in the Screening Exams(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- Determination of Cup Region in Optic Nerve Head by Use of Stereo Fundus Image Pairs for Diagnosis of Glaucoma(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- CAD Scheme on Brain MR Images for Distinction Between Lacunar Infarcts and Enlarged Virchow-Robin Spaces(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- K-means clustering and classification of medical images based on regions-of-interest
- Development of an Automated Method for the Detection of Chronic Lacunar Infarct Regions in Brain MR Images(Image Recognition, Computer Vision)
- Classification of Cirrhotic Liver in MRI Images Using Texture Features
- An atlas-driven approach for automated recognition of liver structure in non-contrasted torso CT images
- Automatic Segmentation of Hepatic Tissue and 3D Volume Analysis of Cirrhosis in Multi-Detector Row CT Scans and MR Imaging(Biological Engineering)
- Development of CAD for Retinal Fundus Images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- Development of an Automated Hemorrhages Detection Algorithm on Retinal Fundus Images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- Detection of hepatic tumours on Multi-phase CT images for surgical plan
- Automated detection of chest nodules in 3D chest CT scans by using 2nd-order autocorrelation features
- Nodule Detection in 3D Chest CT Images Using 2nd Order Autocorrelation Features and GA Template Matching(Joint Session 1)
- A Competitive Enzyme-Linked Immunosorbent Assay-like Method for the Measurement of Urinary Hyaluronan
- Analysis of bone mineral density distribution at trabecular bones in thoracic and lumbar vertebrae using X-ray CT images
- High-speed Detection Method of Solitary Nodules in 3D Chest CT images Based on Cylindrical Filter(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
- Automated X-ray Inspection Method for Fillet-less Mounted Chip Components