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...

Descripción completa

Detalles Bibliográficos
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:	Problem Solving Protocol
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)

slORFfinder: a tool to detect open reading frames resulting from trans-splicing of spliced leader sequences
por: Song, Bo, et al.
Publicado: (2023)

TCRpower: quantifying the detection power of T-cell receptor sequencing with a novel computational pipeline calibrated by spike-in sequences
por: Dahal-Koirala, Shiva, et al.
Publicado: (2022)

NiPTUNE: an automated pipeline for noninvasive prenatal testing in an accurate, integrative and flexible framework
por: Duboc, Véronique, et al.
Publicado: (2021)

ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis
por: Suryatenggara, Jeremiah, et al.
Publicado: (2021)

RiboReport - benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria
por: Gelhausen, Rick, et al.
Publicado: (2022)

Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments
por: Tanoli, Ziaurrehman, et al.
Publicado: (2021)

MATTE: a pipeline of transcriptome module alignment for anti-noise phenotype-gene-related analysis
por: Cai, Guoxin, et al.
Publicado: (2023)

A multiple network-based bioinformatics pipeline for the study of molecular mechanisms in oncological diseases for personalized medicine
por: Dotolo, Serena, et al.
Publicado: (2021)

GP(4): an integrated Gram-Positive Protein Prediction Pipeline for subcellular localization mimicking bacterial sorting
por: Grasso, Stefano, et al.
Publicado: (2020)

bulkAnalyseR: an accessible, interactive pipeline for analysing and sharing bulk multi-modal sequencing data
por: Moutsopoulos, Ilias, et al.
Publicado: (2022)

Qmatey: an automated pipeline for fast exact matching-based alignment and strain-level taxonomic binning and profiling of metagenomes
por: Adams, Alison K, et al.
Publicado: (2023)

BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposing
por: Yousefi, Niloofar, et al.
Publicado: (2023)

iWhale: a computational pipeline based on Docker and SCons for detection and annotation of somatic variants in cancer WES data
por: Binatti, Andrea, et al.
Publicado: (2020)

DLRAPom: a hybrid pipeline of Optimized XGBoost-guided integrative multiomics analysis for identifying targetable disease-related lncRNA–miRNA–mRNA regulatory axes
por: Shen, Chen, et al.
Publicado: (2022)

RefRGim: an intelligent reference panel reconstruction method for genotype imputation with convolutional neural networks
por: Shi, Shuo, et al.
Publicado: (2021)

An inductive graph neural network model for compound–protein interaction prediction based on a homogeneous graph
por: Wan, Xiaozhe, et al.
Publicado: (2022)

MSIsensor-ct: microsatellite instability detection using cfDNA sequencing data
por: Han, Xinyin, et al.
Publicado: (2021)

McAN: a novel computational algorithm and platform for constructing and visualizing haplotype networks
por: Li, Lun, et al.
Publicado: (2023)

Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients
por: Wang, Zihao, et al.
Publicado: (2021)

PEcnv: accurate and efficient detection of copy number variations of various lengths
por: Wang, Xuwen, et al.
Publicado: (2022)

RNAlight: a machine learning model to identify nucleotide features determining RNA subcellular localization
por: Yuan, Guo-Hua, et al.
Publicado: (2022)

HiC1Dmetrics: framework to extract various one-dimensional features from chromosome structure data
por: Wang, Jiankang, et al.
Publicado: (2021)

A penalized linear mixed model with generalized method of moments for prediction analysis on high-dimensional multi-omics data
por: Wang, Xiaqiong, et al.
Publicado: (2022)

HiC4D: forecasting spatiotemporal Hi-C data with residual ConvLSTM
por: Liu, Tong, et al.
Publicado: (2023)

FitDevo: accurate inference of single-cell developmental potential using sample-specific gene weight
por: Zhang, Feng, et al.
Publicado: (2022)

Transfer learning for clustering single-cell RNA-seq data crossing-species and batch, case on uterine fibroids
por: Wang, Yu Mei, et al.
Publicado: (2023)

Comprehensive assessment of cellular senescence in the tumor microenvironment
por: Wang, Xiaoman, et al.
Publicado: (2022)

The repertoire of copy number alteration signatures in human cancer
por: Tao, Ziyu, et al.
Publicado: (2023)

RFPR-IDP: reduce the false positive rates for intrinsically disordered protein and region prediction by incorporating both fully ordered proteins and disordered proteins
por: Liu, Yumeng, et al.
Publicado: (2020)

OPUS-Rota4: a gradient-based protein side-chain modeling framework assisted by deep learning-based predictors
por: Xu, Gang, et al.
Publicado: (2021)

NAMS webserver: coding potential assessment and functional annotation of plant transcripts
por: Sun, Kun, et al.
Publicado: (2020)

PLSDA-batch: a multivariate framework to correct for batch effects in microbiome data
por: Wang, Yiwen, et al.
Publicado: (2023)

scHiMe: predicting single-cell DNA methylation levels based on single-cell Hi-C data
por: Zhu, Hao, et al.
Publicado: (2023)

DISMIR: Deep learning-based noninvasive cancer detection by integrating DNA sequence and methylation information of individual cell-free DNA reads
por: Li, Jiaqi, et al.
Publicado: (2021)

CysModDB: a comprehensive platform with the integration of manually curated resources and analysis tools for cysteine posttranslational modifications
por: Meng, Yanzheng, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_1a5csscg4d294m5d1i0oo5td45