LEADER 03707nam 22006135 450 001 9910888598103321 005 20250808083311.0 010 $a3-031-65640-7 024 7 $a10.1007/978-3-031-65640-8 035 $a(MiAaPQ)EBC31681641 035 $a(Au-PeEL)EBL31681641 035 $a(CKB)35980426300041 035 $a(DE-He213)978-3-031-65640-8 035 $a(EXLCZ)9935980426300041 100 $a20240917d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Intelligent Disease Diagnosis and Treatment $eResearch Papers in Honour of Prof. Janusz Kacprzyk for Invaluable Contributions /$fedited by Chee-Peng Lim, Ashlesha Vaidya, Nikhil Jain, Uday Mahorkar, Lakhmi C. Jain 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (306 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v259 311 08$a3-031-65639-3 327 $aRecent advances in Artificial Intelligence in Healthcare -- Pancreatic Cancer Classification Using Multimodal Imaging -- Bayesian optimisation active learning semi supervised classification for an automatic microembolus detection system -- Images Processing and Visualization of Brain Tumors -- 3D Lung Tumor Segmentation System using Adaptive Structure Deep Belief Network -- Optimal deep transfer learning models for stenosis detection in X ray angiography images -- Forward Nonlinear Model for Deep Learning of EEG Auditory Attention Detection in Cocktail Party Problem. Computational Intelligence Based Modelling of Polyneuropathy Diagnosis -- Decentralized Diagnostics The Role of Federated Learning in Modern Medical Imaging -- Boundary Detection of Incomplete Shapes in Breast Thermal Images Using Statistical Shape Modeling -- Enhanced Liver Lesion Detection in Multi Phase CT Images using Unsupervised Domain Adaptation and Feature Generalization -- Decision Support System for Skin Lesion Diagnosis using Deep Learning. 330 $aThe book delves into innovations in AI and related computing paradigms for disease detection and diagnosis. The collected chapters elucidate the use of a variety of AI and related methodologies to address specific medical challenges. From detecting pancreatic cancer, classifying micro-emboli in stroke diagnosis, to segmenting brain tumours from MRI data, and more, the culmination of these studies underscores the transformative impact AI and digital technologies can have on healthcare, emphasising their potential to enhance medical treatment and improve patient care. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v259 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aArtificial intelligence 606 $aMedical informatics 606 $aComputational Intelligence 606 $aBiomedical Engineering and Bioengineering 606 $aArtificial Intelligence 606 $aHealth Informatics 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 0$aArtificial intelligence. 615 0$aMedical informatics. 615 14$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 676 $a610.285 702 $aChee$b Peng Lim 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910888598103321 996 $aAdvances in Intelligent Disease Diagnosis and Treatment$94431289 997 $aUNINA