Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging : 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings / / edited by John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (XVIII, 135 p. 37 illus., 32 illus. in color.)
• Disciplina: 006
• Soggetto topico: Image processing - Digital techniques; Computer vision; Application software; Artificial intelligence; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer and Information Systems Applications; Artificial Intelligence
• Persona (resp. second.): BaxterJohn S. H.; RekikIslem; EaglesonRoy; ZhouLuping; Syeda-MahmoodTanveer; WangHongzhi; HajijMustafa
• Nota di contenuto: Ethical and Philosophical Issues in Medical Imaging -- Data Poisoning Attack and Defenses in Connectome-based Predictive Models -- Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis -- Separable vs. End-to-End Learning: A critical examination of learning paradigms -- A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools -- User-centered design for surgical innovations: A ventriculostomy case study -- Multimodal Learning and Fusion Across Scales for Clinical Decision Support -- Visually Aware Metadata-guided Supervision for Improved Skin Lesion Classification using Deep Learning -- Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information -- Hybrid Network Based on Cross-modal Feature Fusion for Diagnosis of Alzheimer's Disease -- Topological Data Analysis for Biomedical Imaging -- Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks -- TDA-Clustering Strategies for the Characterization of Brain Organoids -- Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.
• Sommario/riassunto: This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022. EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topologyplays in machine learning and data science.
• Titolo autorizzato: Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging
• ISBN: 9783031232237; 3031232232
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910635391703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13755