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| Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation | Aug 15, 2023 | BenchmarkingMedical Image Analysis | CodeCode Available | 0 | 5 |
| BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation | Feb 17, 2021 | Deep LearningEnsemble Learning | CodeCode Available | 0 | 5 |
| Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net | Jan 24, 2025 | Medical Image AnalysisSegmentation | CodeCode Available | 0 | 5 |
| Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation | Dec 12, 2021 | Federated LearningImage Augmentation | CodeCode Available | 0 | 5 |
| Be Careful When Evaluating Explanations Regarding Ground Truth | Nov 8, 2023 | Medical Image Analysis | CodeCode Available | 0 | 5 |
| BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging | Jun 25, 2024 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization | Jul 28, 2023 | Cardiac SegmentationLung Nodule Segmentation | CodeCode Available | 0 | 5 |
| Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation | Jul 30, 2019 | Image SegmentationLesion Segmentation | CodeCode Available | 0 | 5 |
| Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks | Dec 23, 2024 | Medical Image Analysis | CodeCode Available | 0 | 5 |