| Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation | Oct 16, 2024 | DenoisingImage Generation | —Unverified | 0 | 0 |
| Filter sharing: Efficient learning of parameters for volumetric convolutions | Dec 8, 2016 | Lung Nodule Segmentation | —Unverified | 0 | 0 |
| Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks | Jul 13, 2023 | DecoderLung Cancer Diagnosis | —Unverified | 0 | 0 |
| Hierarchical Object-Centric Learning with Capsule Networks | May 30, 2024 | Computational EfficiencyLung Nodule Segmentation | —Unverified | 0 | 0 |
| Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction | Feb 10, 2018 | AttributeComputed Tomography (CT) | —Unverified | 0 | 0 |
| Longitudinal Assessment of Lung Lesion Burden in CT | Apr 9, 2025 | AnatomyLung Nodule Segmentation | —Unverified | 0 | 0 |
| Lung Nodule Segmentation: Exploring Data Efficiency and Advanced Architectures | May 26, 2025 | Lung Nodule SegmentationSegmentation | —Unverified | 0 | 0 |
| MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan | Apr 4, 2023 | Computed Tomography (CT)Decoder | —Unverified | 0 | 0 |
| S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation | Nov 19, 2024 | Computational EfficiencyComputed Tomography (CT) | —Unverified | 0 | 0 |
| Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision | Jul 29, 2020 | Computed Tomography (CT)Lesion Segmentation | —Unverified | 0 | 0 |
