Cargando…
Diagnosis of Ovarian Neoplasms Using Nomogram in Combination With Ultrasound Image-Based Radiomics Signature and Clinical Factors
Objectives: To establish and validate a nomogram integrating radiomics signatures from ultrasound and clinical factors to discriminate between benign, borderline, and malignant serous ovarian tumors. Materials and methods: In this study, a total of 279 pathology-confirmed serous ovarian tumors colle...
Autores principales: | Qi, Lisha, Chen, Dandan, Li, Chunxiang, Li, Jinghan, Wang, Jingyi, Zhang, Chao, Li, Xiaofeng, Qiao, Ge, Wu, Haixiao, Zhang, Xiaofang, Ma, Wenjuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505695/ https://www.ncbi.nlm.nih.gov/pubmed/34650603 http://dx.doi.org/10.3389/fgene.2021.753948 |
Ejemplares similares
-
An Ultrasonic-Based Radiomics Nomogram for Distinguishing Between Benign and Malignant Solid Renal Masses
por: Li, Chunxiang, et al.
Publicado: (2022) -
Corrigendum: An ultrasonic-based radiomics nomogram for distinguishing between benign and malignant solid renal masses
por: Li, Chunxiang, et al.
Publicado: (2023) -
Application of Deep Convolutional Neural Networks for Discriminating Benign, Borderline, and Malignant Serous Ovarian Tumors From Ultrasound Images
por: Wang, Huiquan, et al.
Publicado: (2021) -
Prognostic Model and Nomogram Construction and Validation With an Autophagy-Related Gene Signature in Low-Grade Gliomas
por: Li, Xinrui, et al.
Publicado: (2022) -
Development and Validation of a Prognostic Nomogram Based on DNA Methylation-Driven Genes for Patients With Ovarian Cancer
por: Zhou, Min, et al.
Publicado: (2021)