Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often tailored to specific modalities or disease types, lack generalizability
这种通用性的缺乏对这些模型在临床实践中的广泛应用构成了实质性的障碍。相比之下,自然图像分割领域的最新进展见证了分割基础模型的出现,例如分割任何模型(Segment Anything Model,SAM)和分割所有地方的多模态提示(Multi-modal prompt all at once),在各种分割任务中展示了卓越的多功能性和性能。 医学图像分割中对通用...
标题:Segment anything in medical images 中文标题:分割一切医学图像 发表年份: 2024年1月 期刊/会议: Nature Communications 分区: SCI 1区 IF:16.6 作者: Jun Ma; Bo Wang(一作;通讯) 单位:加拿大多伦多大学 健康网络中心 DOI:doi.org/10.1038/s41467- 开源代码:github.com/bowang-lab/M 摘要: 医学图像分...
将Segment Anything扩展到医学图像领域 MedSAM: Segment Anything in Medical Images 前言 SAM 是一种在自然图像分割方面取得成功的模型,但在医学图像分割方面表现不佳。MedSAM 首次尝试将 SAM 的成功扩展到医学图像,并成为用于分割各种医学图像的通用工具。为了开发 MedSAM,首先需要一个大型医学图像数据集,其中包括来自...
1.Segment Anything in Medical Images 论文:nature.com/articles/s41 已发布:2024 年 1 月 22 日 分割医学图像中的任何内容 医学图像分割是临床实践中的关键组成部分,有助于准确诊断、治疗计划和疾病监测。然而,现有的方法通常针对特定的模式或疾病类型进行量身定制,在各种医学图像分割任务中缺乏通用性。在这里,我...
Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often tailored to specific modalities or disease types, lack generalizability
This is the official repository for MedSAM: Segment Anything in Medical Images. Welcome to join ourmailing listto get updates. News 2025.04.07: ReleaseMedSAM2for 3D and video segmentation. 2025.02: Welcome to join CVPR 2025 Challenges:InteractiveandText-guided3D Biomedical Image Segmentation ...
“Segment Anything in Medical Images(MedSAM)”是一篇将SAM扩展到医学图像分割的论文。该论文构建了一个大规模的医学图像数据集,包含了11种不同模态的超过20万个Mask,并提出了一种简单的微调方法来适应SAM到通用的医学图像分割。该论文...
We propose an efficient model for the segment anything in medical images problem, RepViT-MedSAM, created from a two step training process. First, the image encoder of MedSAM is distilled into a more efficient RepViT feature detector using aggressively augmented medical images. Then the entire ...
Segment Anything in Medical Images 24 Apr 2023·Jun Ma,Yuting He,Feifei Li,Lin Han,Chenyu You,Bo wang· Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often tailored to ...