Computer-Aided Diagnosis of Glaucoma using Morphological Filters and Machine Learning
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Computer-Aided Diagnosis of Glaucoma using Morphological Filters and Machine Learning
Johri, Archita; Pal, Babita; Pal, Deepika; Bhateja, Vikrant
Elsevier Science & Technology
01/2029
250
Mole
Inglês
9780323954129
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Introduction2. Cad of glaucoma 3. Evolution in cad of glaucoma4. State of art techniques for cad of glaucoma5. Design methodology for cad of glaucoma6. Enhancement of retinal fundus images using morphological filters7. Segmentation and localization of enhanced retinal images8. Results and discussions: Enhancement and segmentation of retinal images9. Feature extraction and classification for automated glaucoma diagnosis10. Results and discussions: Feature extraction and classification11. Conclusions and future research
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Artificial Neural Networks (ANN); Contrast Enhancement; Glaucoma Diagnosis; Image Quality Assessment (IQA); Mathematical Morphology; Retinal Fundus Images; Segmentation; Support Vector Machines (SVM); Morphological Filtering
1. Introduction2. Cad of glaucoma 3. Evolution in cad of glaucoma4. State of art techniques for cad of glaucoma5. Design methodology for cad of glaucoma6. Enhancement of retinal fundus images using morphological filters7. Segmentation and localization of enhanced retinal images8. Results and discussions: Enhancement and segmentation of retinal images9. Feature extraction and classification for automated glaucoma diagnosis10. Results and discussions: Feature extraction and classification11. Conclusions and future research
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
