medical imaging physics
深度学习放射组学
Deep Learning RadiomicsA computational approach that extracts a large number of quantitative features from medical images using deep learning algorithms to characterize the underlying tissue composition and heterogeneity. / 一种计算方法，利用深度学习算法从医学图像中提取大量定量特征，以表征潜在的组织组成和异质性。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-12 18:06:47
Sub-knowledge points
Transvaginal ultrasound image acquisitionFeature extraction from ultrasound dataMulticenter data integrationClassification of non-endometrioid endometrial carcinoma
Higher-order knowledge points
Medical Imaging Physics / 自然理论Oncology
Main parameters and performance indicators
input: 3D ultrasound volumesfeature extraction: deep learning-based texture and shape analysisoutput: quantitative radiomic signatures
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsTransvaginal ultrasound-based deep learning radiomics for preoperative identification of non-endometrioid endometrial carcinoma: A multicenter studyOpen source
Related products and links
Deep learning radiomics model for endometrial carcinoma
Creation and modification trail
1 recordsRecord title: Deep Learning Radiomics.
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