代码仓库
数据集 / 科研
abd-skin-segmentation · MRE-Lab-UMD
用于新型腹部数据集上的皮肤分割的深度学习技术。作为自主机器人超声系统开发过程的一部分进行的工作。
概述
Deep learning techniques for skin segmentation on novel abdominal dataset. Work conducted as part of the development process of an autonomous robotic ultrasound system.
Review the data card, embodiment, schema, collection conditions and dataset-specific license before use. Data access and fit for a particular training setup need separate confirmation.
项目信息
- 维护者
- MRE-Lab-UMD
- 主要语言
- Jupyter Notebook
- 存储库代码许可证
- Apache-2.0
- 模型重量许可证
- 未记录
- 数据集许可
- 未记录
- 硬件设计许可证
- 未记录
- 维护
- 未存档在最后记录的元数据中
- 最后观察到的存储库推送
- 2021-04-05
代码许可不会自动涵盖模型权重、数据集或硬件设计。未记录的许可证详细信息需要与发布者确认。
文档部分
- Deep Learning Techniques for Skin Segmentation on Novel Abdominal Dataset
- Introduction
- Robotic abdominal ultrasound system with the camera view of the abdominal region, and the corresponding segmented skin mask.
- Information on Abdominal Skin Dataset
- Sample pictures of the abdominal dataset depicting different skin color intensities and body complexions.
- Improved segmentation results with the use of our proposed Abdominal dataset using U-Net. From left to right in columns：original image, ground truth, segmentation with the Abdominal dataset, and segmentation without the Abdominal dataset.
