[2409.11169] MAISI: Medical AI for Synthetic Imaging - arXiv.org
2024年9月13日 · This paper introduces the Medical AI for Synthetic Imaging (MAISI), an innovative approach using the diffusion model to generate synthetic 3D computed tomography (CT) images to address those challenges.
MAISI: Medical AI for Synthetic Imaging - arXiv.org
MAISI aims to provide an adaptable and versatile solution for generating anatomically accurate images. Our experiments demonstrate that MAISI can produce realistic CT images with flexible volume dimensions and voxel spacing, offering promising potential to augment medical datasets and improve the performance of downstream tasks.
(MAISI), an innovative approach using the diffusion model to generate synthetic 3D computed tomography (CT) im-ages to address those challenges. MAISI leverages the foun-dation volume compression network and the latent diffu-sion model to produce high-resolution CT images (up to a landmark volume dimension of 512 ×512 ×768 ) with
MONAI 1.4新版本发布，抢先体验MAISI扩散模型以及VISTA交互式 …
2024年10月25日 · MAISI：Medical AI for Synthetic Imaging， 是一种 3D 潜在扩散模型 (LDM)，能够生成大型 CT 图像并附带相应的分割蒙版。 它支持可变体积大小和体素间距，并允许精确控制器官/肿瘤大小。
What’s new in 1.4 — MONAI 1.4.0 Documentation
MAISI (Medical AI for Synthetic Imaging) is a state-of-the-art three-dimensional (3D) Latent Diffusion Model designed for generating high-quality synthetic CT images with or without anatomical annotations.
利用合成数据生成解决医学成像的局限性 - NVIDIA 技术博客
maisi 是一个最先进的基础人工智能模型，用于生成具有相应标签的 3d 高分辨率合成医学图像，以解决数据限制、降低注释成本和维护患者隐私。
借助生成式 AI 和细胞成像的新模型打破医疗健康领域的障碍
全新的生成式 ai模型 maisi（用于合成成像的医疗 ai）现已在 nvidia monai 中提供，能够生成高分辨率 ct 图像（512*512*512），其中包含多达 132 个解剖学类。该模型通过在实际图像受限的情况下生成多样化、逼真的数据集来增强数据增强。
Maisi - Wikipedia
Maisie Harriet Brand Bourke, known professionally as Maisi, is a British musician and social media personality from south-east London. The daughter of Jo Brand, she co-founded Loud LDN, a collective of women and non-binary musicians, and has released several singles and supported Piri & Tommy on their Froge.tour.
医学人工智能合成成像（MAISI） | BriefGPT - AI 论文速递
本研究解决了医学影像分析中的数据稀缺、高标注成本和隐私问题，提出一种基于扩散模型的医学人工智能合成成像（maisi）新方法。 研究表明，MAISI能够生成高分辨率、解剖结构准确的合成CT图像，提供了对各种下游任务的有价值支持，具有显著潜力以缓解现实 ...
MAISI: Medical AI for Synthetic Imaging - Semantic Scholar
2024年9月13日 · The experiment results show that MAISI's capabilities in generating realistic, anatomically accurate images for diverse regions and conditions reveal its promising potential to mitigate challenges using synthetic data. Medical imaging analysis faces challenges such as data scarcity, high annotation costs, and privacy concerns.
- 某些结果已被删除