Research map: ScribSAM: A robust scribble-supervised framework for spatiotemporal segmentation of breast lesions in ultrasound videos

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  1. Segment Anything · Alexander M. Kirillov · 2023 · 10628 citations · Cited by this paper
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  9. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation · Di Lin · 2016 · 1156 citations · Cited by this paper
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  15. Segment anything model for medical images? · Yuhao Huang · 2023 · 508 citations · Cited by this paper
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  17. AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images · Gongping Chen · 2022 · 384 citations · Cited by this paper
  18. Segmentation-aware Generative Reinforcement Network (GRN) for tissue layer segmentation in 3-D ultrasound images for chronic low-back pain (cLBP) assessment · 2026 · Related
  19. Normalized Cut Loss for Weakly-Supervised CNN Segmentation · Meng Tang · 2018 · 357 citations · Cited by this paper
  20. Mamba‑MFNet: A hierarchical supervised network based on the fusion of axial and cross-modal attention for breast DCE‑MRI tumor segmentation · 2026 · Related
  21. On Regularized Losses for Weakly-supervised CNN Segmentation · Meng Tang · 2018 · 271 citations · Cited by this paper
  22. Segmentation of breast ultrasound image with semantic classification of superpixels · Qinghua Huang · 2020 · 215 citations · Cited by this paper
  23. HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation · Qiqi He · 2023 · 196 citations · Cited by this paper
  24. Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images · Xiaoming Liu · 2021 · 194 citations · Cited by this paper
  25. WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image · Xiangde Luo · 2022 · 176 citations · Cited by this paper
  26. ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation · Zihan Li · 2024 · 168 citations · Cited by this paper
  27. CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision · Ke Zhang · 2022 · 97 citations · Cited by this paper
  28. Scribble-Supervised Video Object Segmentation · Peiliang Huang · 2021 · 87 citations · Cited by this paper
  29. A review of the Segment Anything Model (SAM) for medical image analysis: Accomplishments and perspectives · Mudassar Ali · 2024 · 81 citations · Cited by this paper
  30. MEF-UNet: An end-to-end ultrasound image segmentation algorithm based on multi-scale feature extraction and fusion · Mengqi Xu · 2024 · 62 citations · Cited by this paper
  31. MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation · Xiaolong Deng · 2024 · 62 citations · Cited by this paper
  32. Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement · Fang Chen · 2023 · 39 citations · Cited by this paper
  33. ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding · Zihan Li · 2023 · 36 citations · Cited by this paper
  34. Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography · Muhammad Umar Farooq · 2023 · 33 citations · Cited by this paper
  35. PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-Wise Hardness · Siyao Jiang · 2024 · 31 citations · Cited by this paper
  36. Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound · He Zhao · 2023 · 14 citations · Cited by this paper
  37. Liver lesion segmentation in ultrasound: A benchmark and a baseline network · Jialu Li · 2025 · 8 citations · Cited by this paper
  38. ESAM2-BLS: Enhanced segment anything model 2 for efficient breast lesion segmentation in ultrasound imaging · Lishuang Guo · 2025 · 2 citations · Cited by this paper
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