Cargando…
Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames
Recent developments of deep learning methods have demonstrated their feasibility in liver malignancy diagnosis using ultrasound (US) images. However, most of these methods require manual selection and annotation of US images by radiologists, which limit their practical application. On the other hand...
Autores principales: | Xu, Yiming, Zheng, Bowen, Liu, Xiaohong, Wu, Tao, Ju, Jinxiu, Wang, Shijie, Lian, Yufan, Zhang, Hongjun, Liang, Tong, Sang, Ye, Jiang, Rui, Wang, Guangyu, Ren, Jie, Chen, Ting |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390801/ https://www.ncbi.nlm.nih.gov/pubmed/36575566 http://dx.doi.org/10.1093/bib/bbac569 |
Ejemplares similares
-
IBRAP: integrated benchmarking single-cell RNA-sequencing analytical pipeline
por: Knight, Connor H, et al.
Publicado: (2023) -
PhosPiR: an automated phosphoproteomic pipeline in R
por: Hong, Ye, et al.
Publicado: (2021) -
Three-nucleotide periodicity of nucleotide diversity in a population enables the identification of open reading frames
por: Jiang, Mengyun, et al.
Publicado: (2022) -
MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm
por: Bai, Qifeng, et al.
Publicado: (2020) -
ngsComposer: an automated pipeline for empirically based NGS data quality filtering
por: Kuster, Ryan D, et al.
Publicado: (2021)