Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject medical image segmentation
Showing results 1 to 7 of 7
| Issue Date | Title | Author(s) |
| 30-Dec-2024 | CCL-MPC: Semi-supervised medical image segmentation via collaborative intra-inter contrastive learning and multi-perspective consistency | Du, X; Zou, Y; Lei, T; Zhang, W; Wang, Y; Nandi, AK |
| 17-Jan-2022 | Medical Image Segmentation Using Deep Learning: A Survey. | Wang, R; Lei, T; Cui, R; Zhang, B; Meng, H; Nandi, AK |
| 3-Mar-2025 | MSD-EMA: Multiscale Decoupled Expectation–Maximization Attention for Polyp Segmentation | Du, X; Zou, Y; Lei, T; Gu, D; Zhang, X; Nandi, AK |
| 30-Oct-2023 | Segmentation of Brain Tumor Using a 3D Generative Adversarial Network | Kalejahi, BK; Meshgini, S; Danishvar, S |
| 7-Oct-2024 | Semi-Supervised 3D Medical Image Segmentation Using Multi-Consistency Learning With Fuzzy Perception-Guided Target Selection | Lei, T; Song, W; Zhang, W; Du, X; Li, C; He, L; Nandi, AK |
| 19-Jan-2023 | SGU-Net: Shape-Guided Ultralight Network for Abdominal Image Segmentation | Lei, T; Sun, R; Du, X; Fu, H; Zhang, C; Nandi, AK |
| 23-Sep-2024 | Unified Feature Consistency of Under-Performing Pixels and Valid Regions for Semi-Supervised Medical Image Segmentation | Lei, T; Wang, Y; Wang, X; Wang, X; Hu, B; Nandi, AK |
