基于 CenterNet3D 的颅内动脉瘤检测推理库 — 输入 DICOM 序列,输出 14 类血管位置概率向量。
Project description
aneurysm-detector
基于 CenterNet3D 的颅内动脉瘤检测推理库。输入 DICOM 序列文件夹,输出 14 类血管位置的概率向量。
安装
pip install aneurysm-detector
注意: 本包依赖 PyTorch。如果环境中尚未安装,请先前往 pytorch.org 按 CUDA 版本安装。
快速开始
from aneurysm_detector import run_predict, load_center_net_model, CENTER_NET_CFG
# 可选:修改模型路径(默认为 model/model_best.pth)
CENTER_NET_CFG.model_path = "/path/to/model_best.pth"
# 显式加载模型(首次调用 run_predict 时也会自动加载)
load_center_net_model()
# 推理
probs = run_predict("/path/to/dicom_series/")
print(probs) # [0.12, 0.34, ...] 共 14 个概率值
输出标签(14 类)
| 索引 | 标签 |
|---|---|
| 0 | Left Infraclinoid Internal Carotid Artery |
| 1 | Right Infraclinoid Internal Carotid Artery |
| 2 | Left Supraclinoid Internal Carotid Artery |
| 3 | Right Supraclinoid Internal Carotid Artery |
| 4 | Left Middle Cerebral Artery |
| 5 | Right Middle Cerebral Artery |
| 6 | Anterior Communicating Artery |
| 7 | Left Anterior Cerebral Artery |
| 8 | Right Anterior Cerebral Artery |
| 9 | Left Posterior Communicating Artery |
| 10 | Right Posterior Communicating Artery |
| 11 | Basilar Tip |
| 12 | Other Posterior Circulation |
| 13 | Aneurysm Present |
许可证
MIT
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