{"total":37,"rows":[{"id":"2108.06932","title":"Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers","created":"2021-08-16","cited_by_count":159,"area":null},{"id":"2205.04280","title":"TGANet: Text-guided attention for improved polyp segmentation","created":"2022-05-09","cited_by_count":59,"area":null},{"id":"2406.10729","title":"A Comprehensive Survey of Foundation Models in Medicine","created":"2024-06-15","cited_by_count":56,"area":null},{"id":"2311.17081","title":"I-MedSAM: Implicit Medical Image Segmentation with Segment Anything","created":"2023-11-28","cited_by_count":22,"area":null},{"id":"2401.13650","title":"Tyche: Stochastic In-Context Learning for Medical Image Segmentation","created":"2024-01-24","cited_by_count":20,"area":null},{"id":"2303.10396","title":"Towards Diverse Binary Segmentation via A Simple yet General Gated Network","created":"2023-03-18","cited_by_count":17,"area":null},{"id":"2303.06580","title":"Towards General Purpose Medical AI: Continual Learning Medical Foundation Model","created":"2023-03-12","cited_by_count":14,"area":null},{"id":"2409.00346","title":"SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation","created":"2024-08-31","cited_by_count":14,"area":null},{"id":"2410.17241","title":"Frontiers in Intelligent Colonoscopy","created":"2024-10-22","cited_by_count":14,"area":null},{"id":"2311.18373","title":"A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends","created":"2023-11-30","cited_by_count":12,"area":null},{"id":"2409.00045","title":"PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy","created":"2024-08-19","cited_by_count":7,"area":null},{"id":"2401.11734","title":"Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey","created":"2024-01-22","cited_by_count":5,"area":null},{"id":"2307.12429","title":"SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings","created":"2023-07-23","cited_by_count":4,"area":null},{"id":"2110.08776","title":"Self-Supervised U-Net for Segmenting Flat and Sessile Polyps","created":"2021-10-17","cited_by_count":2,"area":null},{"id":"2301.06673","title":"Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation","created":"2023-01-17","cited_by_count":2,"area":null},{"id":"2301.06892","title":"Cooperation Learning Enhanced Colonic Polyp Segmentation Based on Transformer-CNN Fusion","created":"2023-01-17","cited_by_count":2,"area":null},{"id":"2409.07793","title":"Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation","created":"2024-09-12","cited_by_count":2,"area":null},{"id":"2310.05446","title":"RetSeg: Retention-based Colorectal Polyps Segmentation Network","created":"2023-10-09","cited_by_count":1,"area":null},{"id":"2401.17542","title":"A Medical Data-Effective Learning Benchmark for Highly Efficient Pre-training of Foundation Models","created":"2024-01-31","cited_by_count":1,"area":null},{"id":"2507.10864","title":"A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11n","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2601.18330","title":"A Tumor Aware DenseNet Swin Hybrid Learning with Boosted and Hierarchical Feature Spaces for Large-Scale Brain MRI Classification","created":"2026-01-26","cited_by_count":1,"area":null},{"id":"2111.10618","title":"PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation","created":"2021-11-20","cited_by_count":0,"area":null},{"id":"2201.10448","title":"How Low Can We Go? Pixel Annotation for Semantic Segmentation","created":"2022-01-25","cited_by_count":0,"area":null},{"id":"2211.02416","title":"Rethinking the transfer learning for FCN based polyp segmentation in colonoscopy","created":"2022-11-04","cited_by_count":0,"area":null},{"id":"2301.02703","title":"RUPNet: Residual upsampling network for real-time polyp segmentation","created":"2023-01-06","cited_by_count":0,"area":null},{"id":"2301.04032","title":"Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?","created":"2023-01-10","cited_by_count":0,"area":null},{"id":"2304.12596","title":"Detection of Pavement Cracks by Deep Learning Models of Transformer and UNet","created":"2023-04-25","cited_by_count":0,"area":null},{"id":"2404.11152","title":"Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans","created":"2024-04-17","cited_by_count":0,"area":null},{"id":"2405.04288","title":"BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp Segmentation","created":"2024-05-05","cited_by_count":0,"area":null},{"id":"2407.16608","title":"Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging","created":"2024-07-23","cited_by_count":0,"area":null},{"id":"2504.14715","title":"Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation","created":"2025-04-20","cited_by_count":0,"area":null},{"id":"2508.09189","title":"Hybrid(Transformer+CNN)-based Polyp Segmentation","created":"2025-08-08","cited_by_count":0,"area":null},{"id":"2511.01143","title":"MicroAUNet: Boundary-Enhanced Multi-scale Fusion with Knowledge Distillation for Colonoscopy Polyp Image Segmentation","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2512.03597","title":"HBFormer: A Hybrid-Bridge Transformer for Microtumor and Miniature Organ Segmentation","created":"2025-12-03","cited_by_count":0,"area":null},{"id":"2602.15072","title":"GRAFNet: Multiscale Retinal Processing via Guided Cortical Attention Feedback for Enhancing Medical Image Polyp Segmentation","created":"2026-02-15","cited_by_count":0,"area":null},{"id":"2604.28095","title":"UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation","created":"2026-04-30","cited_by_count":0,"area":null},{"id":"2607.22743","title":"QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation","created":"2026-07-23","cited_by_count":0,"area":null}],"next_cursor":null}