{"total":38,"rows":[{"id":"2312.07381","title":"ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image","created":"2023-12-12","cited_by_count":48,"area":null},{"id":"2104.12166","title":"MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning","created":"2021-04-25","cited_by_count":45,"area":null},{"id":"2203.12362","title":"MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images","created":"2022-03-23","cited_by_count":39,"area":null},{"id":"2311.13964","title":"Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy","created":"2023-11-23","cited_by_count":27,"area":null},{"id":"2206.00356","title":"A Survey on Deep Learning for Skin Lesion Segmentation","created":"2022-06-01","cited_by_count":22,"area":null},{"id":"2107.00583","title":"Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation","created":"2021-07-01","cited_by_count":21,"area":null},{"id":"2208.05669","title":"PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation","created":"2022-08-11","cited_by_count":17,"area":null},{"id":"2303.12484","title":"Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions","created":"2023-03-22","cited_by_count":16,"area":null},{"id":"2205.06779","title":"Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations","created":"2022-05-13","cited_by_count":15,"area":null},{"id":"2307.05617","title":"$\\mathrm{SAM^{Med}}$: A medical image annotation framework based on large vision model","created":"2023-07-11","cited_by_count":13,"area":null},{"id":"2412.15058","title":"MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance","created":"2024-12-19","cited_by_count":13,"area":null},{"id":"2210.10956","title":"Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation","created":"2022-10-20","cited_by_count":9,"area":null},{"id":"2310.15098","title":"Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data","created":"2023-10-23","cited_by_count":9,"area":null},{"id":"2301.09914","title":"Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues","created":"2023-01-24","cited_by_count":6,"area":null},{"id":"2304.04902","title":"Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning","created":"2023-04-11","cited_by_count":6,"area":null},{"id":"2306.16714","title":"SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI","created":"2023-06-29","cited_by_count":6,"area":null},{"id":"2310.06557","title":"Data efficient deep learning for medical image analysis: A survey","created":"2023-10-10","cited_by_count":6,"area":null},{"id":"2406.19364","title":"SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues","created":"2024-06-27","cited_by_count":6,"area":null},{"id":"2212.08774","title":"Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation","created":"2022-12-17","cited_by_count":4,"area":null},{"id":"2404.13239","title":"Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models","created":"2024-04-20","cited_by_count":4,"area":null},{"id":"2210.14270","title":"Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization","created":"2022-10-25","cited_by_count":3,"area":null},{"id":"2408.12814","title":"From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels","created":"2024-08-23","cited_by_count":3,"area":null},{"id":"2311.03537","title":"Leveraging point annotations in segmentation learning with boundary loss","created":"2023-11-06","cited_by_count":2,"area":null},{"id":"2403.02566","title":"Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning","created":"2024-03-05","cited_by_count":2,"area":null},{"id":"2307.09604","title":"DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation","created":"2023-07-13","cited_by_count":1,"area":null},{"id":"2310.08084","title":"Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors","created":"2023-10-12","cited_by_count":1,"area":null},{"id":"2311.11176","title":"Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation","created":"2023-11-18","cited_by_count":1,"area":null},{"id":"2503.05534","title":"S4M: 4-points to Segment Anything","created":"2025-03-07","cited_by_count":1,"area":null},{"id":"2309.00971","title":"AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation","created":"2023-09-02","cited_by_count":0,"area":null},{"id":"2311.10305","title":"Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction","created":"2023-11-17","cited_by_count":0,"area":null},{"id":"2405.16628","title":"Competing for pixels: a self-play algorithm for weakly-supervised segmentation","created":"2024-05-26","cited_by_count":0,"area":null},{"id":"2407.06612","title":"AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review","created":"2024-07-09","cited_by_count":0,"area":null},{"id":"2411.12615","title":"Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance","created":"2024-11-19","cited_by_count":0,"area":null},{"id":"2502.19707","title":"Weakly Supervised Segmentation Framework for Thyroid Nodule Based on High-confidence Labels and High-rationality Losses","created":"2025-02-27","cited_by_count":0,"area":null},{"id":"2503.15260","title":"DEPT: Deep Extreme Point Tracing for Ultrasound Image Segmentation","created":"2025-03-19","cited_by_count":0,"area":null},{"id":"2510.15666","title":"Uncertainty-Aware Extreme Point Tracing for Weakly Supervised Ultrasound Image Segmentation","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2605.06266","title":"ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2608.29153","title":"SGRNet: Spatially Guided Radiology Network for Structured Radiological Reporting of Head and Neck Cancer","created":"2026-08-29","cited_by_count":0,"area":null}],"next_cursor":null}