Novel computer aided diagnostic models on multimodality medical images to differentiate well differentiated liposarcomas from lipomas approached by deep learning methods

BACKGROUND: Deep learning methods have great potential to predict tumor characterization, such as histological diagnosis and genetic aberration. The objective of this study was to evaluate and validate the predictive performance of multimodality imaging-derived models using computer-aided diagnostic...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Yuhan, Zhou, Yin, Zhou, Chen, Ma, Xuelei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991509/
https://www.ncbi.nlm.nih.gov/pubmed/35392952
http://dx.doi.org/10.1186/s13023-022-02304-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991509/
https://www.ncbi.nlm.nih.gov/pubmed/35392952
http://dx.doi.org/10.1186/s13023-022-02304-x

Ejemplares similares