| Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images | Jun 21, 2021 | Computed Tomography (CT)Diversity | —Unverified | 0 |
| Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT | Oct 9, 2018 | Liver Segmentation | —Unverified | 0 |
| 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks | Jan 25, 2020 | Liver SegmentationTransfer Learning | —Unverified | 0 |
| Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation | Oct 12, 2017 | Automatic Liver And Tumor SegmentationLiver Segmentation | —Unverified | 0 |
| FourierLoss: Shape-Aware Loss Function with Fourier Descriptors | Sep 21, 2023 | Image SegmentationLiver Segmentation | —Unverified | 0 |
| Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI | Jan 18, 2021 | Liver Segmentation | —Unverified | 0 |
| FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation | May 23, 2022 | Federated LearningLiver Segmentation | —Unverified | 0 |
| Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation | Mar 26, 2021 | Liver Segmentation | —Unverified | 0 |
| Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision | Aug 19, 2021 | Domain AdaptationImage Segmentation | —Unverified | 0 |
| Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation | Nov 15, 2022 | Automatic Liver And Tumor SegmentationLiver Segmentation | —Unverified | 0 |
