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A standardised protocol for texture feature analysis of endoscopic images in gynaecological cancer
Abstract
Abstract is not available.- Color Correction
- Difference Set
- Image Acquisition
- Standardisation
- Statistical Test
- Texture Features
- Tissue Classification
- Engineering, Biomedical
- Gray Level Difference Statistics
- Spatial Gray Level Dependence Matrices
- Texture feature analysis
- Tissue classification methods
- Approximation theory
- Feature extraction
- Image acquisition
- Image analysis
- Optical correlation
- Statistical methods
- Tissue
- Biomedical engineering
- algorithm
- article
- clinical protocol
- color discrimination
- controlled study
- endometrium cancer
- endoscopy
- female
- gynecologic cancer
- human
- illumination
- image analysis
- image quality
- process optimization
- standardization
- statistical analysis
- statistical significance
- videorecording
- animal
- artifact
- automated pattern recognition
- calibration
- cattle
- chicken
- color
- darkness
- diagnosis, measurement and analysis
- discriminant analysis
- endometrium tumor
- image enhancement
- image subtraction
- methodology
- microscopy
- pathology
- reproducibility
- signal processing
- standard
- Animals
- Artifacts
- Calibration
- Cattle
- Chickens
- Color
- Darkness
- Discriminant Analysis
- Endometrial Neoplasms
- Endoscopy
- Female
- Humans
- Image Enhancement
- Laboratory Techniques and Procedures
- Microscopy, Video
- Pattern Recognition, Automated
- Reference Standards
- Reproducibility of Results
- Signal Processing, Computer-Assisted
- Subtraction Technique
- Color Correction
- Difference Set
- Image Acquisition
- Standardisation
- Statistical Test
- Texture Features
- Tissue Classification
- Engineering, Biomedical
- Gray Level Difference Statistics
- Spatial Gray Level Dependence Matrices
- Texture feature analysis
- Tissue classification methods
- Approximation theory
- Feature extraction
- Image acquisition
- Image analysis
- Optical correlation
- Statistical methods
- Tissue
- Biomedical engineering
- algorithm
- article
- clinical protocol
- color discrimination
- controlled study
- endometrium cancer
- endoscopy
- female
- gynecologic cancer
- human
- illumination
- image analysis
- image quality
- process optimization
- standardization
- statistical analysis
- statistical significance
- videorecording
- animal
- artifact
- automated pattern recognition
- calibration
- cattle
- chicken
- color
- darkness
- diagnosis, measurement and analysis
- discriminant analysis
- endometrium tumor
- image enhancement
- image subtraction
- methodology
- microscopy
- pathology
- reproducibility
- signal processing
- standard
- Animals
- Artifacts
- Calibration
- Cattle
- Chickens
- Color
- Darkness
- Discriminant Analysis
- Endometrial Neoplasms
- Endoscopy
- Female
- Humans
- Image Enhancement
- Laboratory Techniques and Procedures
- Microscopy, Video
- Pattern Recognition, Automated
- Reference Standards
- Reproducibility of Results
- Signal Processing, Computer-Assisted
- Subtraction Technique