LEADER 04156nam 22006975 450 001 9911007482203321 005 20250601130234.0 010 $a981-9676-02-9 024 7 $a10.1007/978-981-96-7602-6 035 $a(CKB)39160752200041 035 $a(MiAaPQ)EBC32142926 035 $a(Au-PeEL)EBL32142926 035 $a(DE-He213)978-981-96-7602-6 035 $a(EXLCZ)9939160752200041 100 $a20250601d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Image Fusion Techniques for Medical Imaging $eTrends, Applications, and Future Directions /$fby Palani Thanaraj Krishnan, Vijayarajan Rajangam 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (139 pages) 311 08$a981-9676-01-0 327 $a -- Chapter 1: Introduction to Image Fusion in Medical Image Analysis -- Chapter 2: Conventional Fusion Strategies for Medical Image Processing -- Chapter 3: Image Fusion using Deep Learning Methods -- Chapter 4: Fusion strategies for Deep learning applications -- Chapter 5: Advanced Applications, Future Trends, and Conclusion. 330 $a"Advanced Image Fusion Techniques for Medical Imaging: Trends, Applications, and Future Directions" is a comprehensive exploration of cutting-edge image fusion methodologies in the realm of medical imaging. This timely work addresses the growing need for advanced techniques to integrate and analyze multi-modal medical images, offering healthcare professionals and researchers a valuable resource for improving diagnostic accuracy and patient outcomes. The book provides a thorough examination of both conventional and deep learning-based fusion strategies, covering a wide spectrum of applications in medical image processing. From noise reduction and image enhancement to segmentation and classification, the authors present a detailed analysis of how image fusion can be leveraged to overcome the limitations of individual imaging modalities. Real-world case studies and practical examples throughout the text demonstrate the tangible benefits of these techniques in clinical settings. Looking beyond current applications, this forward-thinking volume also explores emerging trends and future directions in medical image fusion. By addressing challenges and potential impacts on healthcare practices, the authors offer readers a glimpse into the future of medical imaging. This book serves as an essential guide for researchers in biomedical engineering, medical professionals specializing in radiology and medical imaging, and graduate students in computer science, electrical engineering, biomedical engineering. This diverse audience reflects the book's comprehensive approach to advanced image fusion techniques in medical imaging, covering both theoretical foundations and practical applications. 606 $aImaging systems in biology 606 $aImage processing 606 $aSignal processing 606 $aArtificial intelligence 606 $aDiagnosis 606 $aRadiology 606 $aBiological Imaging 606 $aImage Processing 606 $aSignal, Speech and Image Processing 606 $aArtificial Intelligence 606 $aDiagnosis 606 $aRadiology 615 0$aImaging systems in biology. 615 0$aImage processing. 615 0$aSignal processing. 615 0$aArtificial intelligence. 615 0$aDiagnosis. 615 0$aRadiology. 615 14$aBiological Imaging. 615 24$aImage Processing. 615 24$aSignal, Speech and Image Processing. 615 24$aArtificial Intelligence. 615 24$aDiagnosis. 615 24$aRadiology. 676 $a543.028 700 $aKrishnan$b Palani Thanaraj$01827463 701 $aRajangam$b Vijayarajan$01827464 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911007482203321 996 $aAdvanced Image Fusion Techniques for Medical Imaging$94395633 997 $aUNINA