{"total":20,"rows":[{"id":"2405.06284","title":"Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention","created":"2024-05-10","cited_by_count":26,"area":null},{"id":"2305.17937","title":"Attention Mechanisms in Medical Image Segmentation: A Survey","created":"2023-05-29","cited_by_count":9,"area":null},{"id":"2205.15413","title":"PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps","created":"2022-05-30","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":"2306.07792","title":"Rethinking Polyp Segmentation from an Out-of-Distribution Perspective","created":"2023-06-13","cited_by_count":4,"area":null},{"id":"2401.12439","title":"MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer","created":"2024-01-23","cited_by_count":3,"area":null},{"id":"2202.06104","title":"Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training","created":"2022-02-12","cited_by_count":2,"area":null},{"id":"2307.12033","title":"Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data","created":"2023-07-22","cited_by_count":1,"area":null},{"id":"2402.11585","title":"PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM","created":"2024-02-18","cited_by_count":1,"area":null},{"id":"2405.12328","title":"Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation","created":"2024-05-20","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":"2111.00534","title":"Focal Attention Networks: optimising attention for biomedical image segmentation","created":"2021-10-31","cited_by_count":0,"area":null},{"id":"2211.14235","title":"DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images","created":"2022-11-25","cited_by_count":0,"area":null},{"id":"2302.04395","title":"Optimized Hybrid Focal Margin Loss for Crack Segmentation","created":"2023-02-09","cited_by_count":0,"area":null},{"id":"2309.06807","title":"Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task","created":"2023-09-13","cited_by_count":0,"area":null},{"id":"2407.19327","title":"Polyp segmentation in colonoscopy images using DeepLabV3++","created":"2024-07-27","cited_by_count":0,"area":null},{"id":"2411.02843","title":"Advances in Photoacoustic Imaging Reconstruction and Quantitative Analysis for Biomedical Applications","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2412.02443","title":"Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps","created":"2024-12-03","cited_by_count":0,"area":null},{"id":"2512.13376","title":"Unlocking Generalization in Polyp Segmentation with DINO Self-Attention \"keys\"","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2603.01115","title":"LUMOS: Latent Universal Medical Priors for Segmentation","created":"2026-03-01","cited_by_count":0,"area":null}],"next_cursor":null}