bowang-lab/dsh-medomni0

dsh-medomni

DSH 医学影像专业工具包:支持胸部X光/CT/MRI/眼底图像报告生成、器官分割及超声分类。

AI 分析

核心用途是为 DSH 引入专业的医学影像分析与报告生成工具(如 MAIRA-2、MedGemma 等)。适合医学研究或医疗辅助任务。必要条件是需配置 Hugging Face 凭证。

包名
dsh-medomni
版本
0.2.1
许可证
MIT
最近更新
2026年8月22日

安装

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bowang-lab/dsh-medomni

Usage examples

Chest X-ray report:

"Generate a radiology report for this chest X-ray: /path/to/chest_xray.png"

calls xray_report_medgemma, xray_report_maira, or xray_grounded_report_maira when finding evidence/bounding boxes are useful.

Find something specific, by name, on any of the five modalities:

"Segment the gallstone in this ultrasound image." "Are there any microaneurysms in this fundus photo?"

calls the matching _segmentation_biomedparse tool only when you ask for segmentation, masks, overlays, or localization. BiomedParse takes any free-text finding or anatomical structure, but its mask is localization, not diagnosis.

Disambiguate a vague ultrasound request first:

"What's in this ultrasound before you segment anything?"

calls ultrasound_classify_biomedclip to narrow down anatomy/pathology, then a segmentation tool with the winning label as the prompt.

Whole-body organ segmentation on a CT or MRI volume:

"Segment the liver and kidneys in this CT scan: /path/to/scan.nii.gz"

calls ct_segmentation_totalseg for the fixed anatomical-structure list, or ct_segmentation_biomedparse if you'd rather name a pathology than an organ.

Prior-vs-current comparison:

"Compare this current chest X-ray to the prior one and describe interval change."

calls xray_longitudinal_comparison with both images.