Detection of lesions in endoscopic video using textural descriptors on wavelet domain supported by artificial neural network architectures

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 833-836

  Karkanis, S A ^a   Iakovidis, D K ^a   Karras, D A ^a   Maroulis, D E ^a  

^a UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; IMAGING TECHNIQUES; VECTORS; WAVELET TRANSFORMS;

ENDOSCOPIC VIDEO; LESIONS;

MEDICAL IMAGING;

EID: 0035163965     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Tumor recognition in endoscopic video images
2. Image recognition and neuronal networks: Intelligent systems for the improvement of imaging information
3. Malignant and benign clustered microcalcification: Automated feature analysis and classification
4. Review of neural network applications in medical imaging and signal processing
5. A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue
6. Extraction of tumor region in color images using wavelets
7. Colonoscopic diagnosis and management of nonpolypoid early colorectal cancer
8. Pit pattern diagnosis of colorectal carcinoma by magnifying colonoscopy: Clinical and histological implications
9. Statistical and structural approaches to texture