Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: "Machine Learning"
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| Link zu diesem Datensatz | https://d-nb.info/1344347622 |
| Art des Inhalts | Konferenzschrift |
| Titel | Cancer Prevention, Detection, and Intervention : Third MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings / edited by Sharib Ali, Fons van der Sommen, Bartłomiej Władysław Papież, Noha Ghatwary, Yueming Jin, Iris Kolenbrander |
| Person(en) |
Ali, Sharib (Herausgeber) van der Sommen, Fons (Herausgeber) Papież, Bartłomiej W. (Herausgeber) Ghatwary, Noha (Herausgeber) Jin, Yueming (Herausgeber) Kolenbrander, Iris (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XII, 243 p. 69 illus., 61 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-73375-8 Printed edition:: ISBN: 978-3-031-73377-2 |
| Inhalt | Classification and characterization -- Multi-center ovarian tumor classification using hierarchical transformer-based multiple-instance learning -- FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning -- Classification of Endoscopy and Video Capsule Images using Hybrid Model -- Multimodal Deep Learning-based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases -- Seeing More with Less: Meta-Learning and Diffusion Models for Tumor Characterization in Low-data Settings -- Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification -- Detection and Segmentation -- On undesired emergent behaviors in compound prostate cancer detection systems -- Optimizing Multi-Expert Consensus for Classification and Precise Localization of Barrett’s Neoplasia -- Automated Hepatocellular Carcinoma Analysis in Multi-Phase CT with Deep Learning -- Refining deep learning segmentation maps with a local thresholding approach: application to liver surface nodularity quantification in CT -- Uncertainty-Aware Deep Learning Classification for MRI-based Prostate Cancer Detection -- Generalized Polyp Detection from Colonoscopy frames Using proposed EDF-YOLO8 Network -- AI-Assisted Laryngeal Examination System -- UltraWeak: Enhancing Breast Ultrasound Cancer Detection with Deformable DETR and Weak Supervision -- SelectiveKD: A semi-supervised framework for cancer detection in DBT through Knowledge Distillation and Pseudo-labeling -- Cancer/Early cancer detection, treatment, and survival prognosis.-AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients -- Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery -- Treatment efficacy prediction of focused ultrasound therapies using multi-parametric magnetic resonance imaging -- SurRecNet: A Multi-Task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis -- Improved prediction of recurrence after prostate cancer radiotherapy using multimodal data and in silico simulations -- AutoDoseRank: Automated Dosimetry-informed Segmentation Ranking for Radiotherapy -- SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2410090425081.164622322032 DOI: 10.1007/978-3-031-73376-5 |
| URL | https://doi.org/10.1007/978-3-031-73376-5 |
| ISBN/Einband/Preis | 978-3-031-73376-5 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15199 |
| DDC-Notation | 616.994 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 610 Medizin, Gesundheit |
| Online-Zugriff | Archivobjekt öffnen |
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