Buch, Englisch, Band 13755, 135 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 248 g
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
Buch, Englisch, Band 13755, 135 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 248 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-23222-0
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.