03718nam 22005775 450 991098334590332120251225183441.03-031-73483-110.1007/978-3-031-73483-0(MiAaPQ)EBC31702405(Au-PeEL)EBL31702405(CKB)36271344500041(DE-He213)978-3-031-73483-0(EXLCZ)993627134450004120241003d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine First International Workshop, AIPAD 2024 and First International Workshop, PILM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings /edited by Federica Proietto Salanitri, Serestina Viriri, Ulaş Bağcı, Pallavi Tiwari, Boqing Gong, Concetto Spampinato, Simone Palazzo, Giovanni Bellitto, Nancy Zlatintsi, Panagiotis Filntisis, Cecilia S. Lee, Aaron Y. Lee1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (113 pages)Lecture Notes in Computer Science,1611-3349 ;151973-031-73482-3 Artificial Intelligence in Pancreatic Disease Detection and Diagnosis -- Assessing the Efficacy of Foundation Models in Pancreas Segmentation -- Hybrid Deep Learning Model for Pancreatic Cancer Image Segmentation -- Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation -- Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation -- Pancreatic Vessel Landmark Detection in CT Angiography using Prior Anatomical Knowledge -- Personalized Incremental Learning in Medicine.-Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion -- Distribution-Aware Replay for Continual MRI Segmentation -- Exploring Wearable Emotion Recognition with Transformer-Based Continual Learning.This volume constitutes the refereed proceedings of the First International Workshop on Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, AIPAD 2024 and the First International Workshop on Personalized Incremental Learning in Medicine, PILM 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 8 full papers included in these proceedings were carefully reviewed and selected from 9 submissions. They were organized in topical sections as follows: artificial intelligence in pancreatic disease detection and diagnosis; and personalized incremental learning in medicine.Lecture Notes in Computer Science,1611-3349 ;15197Machine learningMachine LearningMachine learning.Machine Learning.006.31Proietto Salanitri Federica1785228Viriri Serestina1785229Bağcı Ulaş1785230Tiwari Pallavi1785231Gong Boqing1785232Spampinato Concetto791074Palazzo Simone1785233Bellitto Giovanni1785234Zlatintsi Nancy1785235Filntisis Panagiotis1785236MiAaPQMiAaPQMiAaPQBOOK9910983345903321Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine4316813UNINA