PixelMedAI

PixelMedAI是一款影像组学与深度学习任务平台，能够实现许多主流文献中研究方法，目前主要能实现

1.传统影像组学任务（生境影像组学，血管影像组学）
2.深度学习分类任务
3.深度学习分割任务
4.传统影像组学特征联合深度学习特征分类任务功能更新日志：https://p.kdocs.cn/s/SROPMBAAIA

近期代码重构，未来升级更简洁的使用方式。

明确致谢PixelMed AI的文章：

Zhang J, Xia L, Tang J, et al. Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study[J]. Academic Radiology, 2023.

Zhang J, Xia L, Liu J, et al. Exploring Deep Learning Radiomics for Classifying Osteoporotic Vertebral Fractures in X-ray Images[J]. Frontiers in Endocrinology, 2024, 15: 1370838.

Zhang Y, Zou Y, Tan W, et al. Value of radiomics-based automatic grading of muscle edema in polymyositis/dermatomyositis based on MRI fat-suppressed T2-weighted images[J]. Acta Radiologica, 2024: 02841851241244507.

Zhang, J., Xia, L., Zhang, X. et al. Development and validation of a predictive model for vertebral fracture risk in osteoporosis patients. Eur Spine J (2024). https://doi.org/10.1007/s00586-024-08235-4

PixelMed AI开发版提供技术支持的文章：

XIA L, LIANG Z P, ZHANG J. Research on the method of brain magnetic resonance synthetic DWI generation based on the cycle generative adversarial network[J]. Chin J Magn Reson Imaging, 2023, 14(7): 121-126.
Qi X, Wang W, Pan S, et al. Predictive value of triple negative breast cancer based on DCE-MRI multi-phase full-volume ROI clinical radiomics model[J]. Acta Radiologica, 2023: 02841851231215145. Xia F, Wei W, Wang J, et al. Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics[J]. BMC Medical Imaging, 2024, 24(1): 1-11.

PixelMed AI（影像诊断小札记）既往客户名单