Deep Learning Applications in Healthcare and Medical Imaging Practice

Introduction to Medical Image Denoising, Enhancement, and Reconstruction.- CT, MRI, PET Image Enhancement using Image Fusion Strategy.- Principles, Practices, and Emerging Trends in Modern Image Reconstruction.- Transforming Healthcare with AI An Introduction to Machine Learning and Deep Learning Techniques.- Ai And Deep Learning In Medical Imaging: Reforming Diagnosis And Treatment.- A Summary of Recent Progress in Multimodal Medical Image Fusion Methods for Improved Diagnosis.- In depth Analysis of CT Image, Noise, Non traditional Denoising Techniques, and its Evaluation Metrics.- Comparative Analysis of Transform Based Denoising Techniques for CT Imaging.-Pneumonia Classification from Chest X-Ray Images Using K Fold CNN Approach.- AY Net Attention Y Net based Dehazing in Laparoscopic Surgery.- Ml Driven Approach For Classification Analysis Of Diabetic Retinopathy Using Medical Imaging Application.- Computational Detection Of Diabetic Retinal Dot Blot Hemorrhage Using Medical Imaging Approach With Deep Neural Networks.-Multiple Sclerosis Diagnosis using Deep Learning Techniques Study of Brain MRI Images.- Advanced Diagnostic Technologies and Analytical Models for Enhanced COVID 19 Management A Multi Scale Approach to Early Detection, Severity Classification, and Long Term Risk Assessment.- Ai Aided Detection And Classification Of Auricular Deformities In New Borns.- YOLOv10 for Enhanced Trypanosome Detection.-Revolutionizing Breast Cancer Management Education, Motivational Support and Detection Using Deep Learning Algorithms.- Semi Supervised Image Segmentation Techniques for Medical Image Analysis.- Advancing Fetal Health Prediction A Review of CTG Based Classification, MRI Segmentation, and Abnormality Detection.- Fracture Detection in X ray Images using Deep Supervised Learning.- Challenges Issues on low quality images in Cancer Detection within Medical Imaging System and Image Enhancement using Multi focus Image Fusion Techniques.- Advantages, Drawbacks, Emerging Research Challenges and Future Scope in Medical Image Enhancement, Restoration, Reconstruction.

• Erscheinungsdatum: 18.05.2026
• Autor/Autorin: Prabhishek Singh
• Reihe: Engineering (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 33.4 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 490 Seiten
• ISBN: 9783032210098
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.