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Data Engineering in Medical Imaging: First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, P
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Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!
| Inhalt: |
| Weakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo-Labels.- Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.- A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation.- Pre-training with simulated ultrasound images for breast mass segmentation and classification.- Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications.- A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video.- Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance.- Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining.- A Study on Using Transformer Encoding Techniques to Optimize Data-driven Volume-to-Surface Registration for Minimally Invasive Liver Interventions.- Vision Transformer-based Self-Supervised Learning for Ulcerative Colitis Grading in Colonoscopy.- Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. |
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