Cargando…

Development of a Deep Learning Model to Assist With Diagnosis of Hepatocellular Carcinoma

BACKGROUND: An accurate pathological diagnosis of hepatocellular carcinoma (HCC), one of the malignant tumors with the highest mortality rate, is time-consuming and heavily reliant on the experience of a pathologist. In this report, we proposed a deep learning model that required minimal noise reduc...

Descripción completa

Detalles Bibliográficos
Autores principales:	Feng, Shi, Yu, Xiaotian, Liang, Wenjie, Li, Xuejie, Zhong, Weixiang, Hu, Wanwan, Zhang, Han, Feng, Zunlei, Song, Mingli, Zhang, Jing, Zhang, Xiuming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671137/ https://www.ncbi.nlm.nih.gov/pubmed/34926264 http://dx.doi.org/10.3389/fonc.2021.762733

Ejemplares similares

Deep learning based diagnosis for cysts and tumors of jaw with massive healthy samples
por: Yu, Dan, et al.
Publicado: (2022)

Deep learning-assisted diagnosis of chronic atrophic gastritis in endoscopy
por: Shi, Yanting, et al.
Publicado: (2023)

Automated diagnosis of pancreatic mucinous and serous cystic neoplasms with modality-fusion deep neural network using multi-modality MRIs
por: Zhang, Gong, et al.
Publicado: (2023)

Deep Learning for Approaching Hepatocellular Carcinoma Ultrasound Screening Dilemma: Identification of α-Fetoprotein-Negative Hepatocellular Carcinoma From Focal Liver Lesion Found in High-Risk Patients
por: Zhang, Wei-bin, et al.
Publicado: (2022)

Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib
por: Zhang, Lei, et al.
Publicado: (2020)

Differentiating Hepatic Epithelioid Angiomyolipoma From Hepatocellular Carcinoma and Focal Nodular Hyperplasia via Radiomics Models
por: Liang, Wenjie, et al.
Publicado: (2020)

An Adaptive Transfer-Learning-Based Deep Cox Neural Network for Hepatocellular Carcinoma Prognosis Prediction
por: Chai, Hua, et al.
Publicado: (2021)

Exploring pathological signatures for predicting the recurrence of early-stage hepatocellular carcinoma based on deep learning
por: Qu, Wei-Feng, et al.
Publicado: (2022)

AX-Unet: A Deep Learning Framework for Image Segmentation to Assist Pancreatic Tumor Diagnosis
por: Yang, Minqiang, et al.
Publicado: (2022)

Deep learning techniques for imaging diagnosis of renal cell carcinoma: current and emerging trends
por: Wang, Zijie, et al.
Publicado: (2023)

Deep Learning Radiomics to Predict Regional Lymph Node Staging for Hilar Cholangiocarcinoma
por: Wang, Yubizhuo, et al.
Publicado: (2021)

Establishment and validation of nomogram model for the diagnosis of AFP-negative hepatocellular carcinoma
por: Liu, Long, et al.
Publicado: (2023)

Predicting the Initial Treatment Response to Transarterial Chemoembolization in Intermediate-Stage Hepatocellular Carcinoma by the Integration of Radiomics and Deep Learning
por: Peng, Jie, et al.
Publicado: (2021)

Diagnosis of cervical lymph node metastasis with thyroid carcinoma by deep learning application to CT images
por: Wang, Tiantian, et al.
Publicado: (2023)

Deep Learning of Liver Contrast-Enhanced Ultrasound to Predict Microvascular Invasion and Prognosis in Hepatocellular Carcinoma
por: Zhang, Yafang, et al.
Publicado: (2022)

US-Based Deep Learning Model for Differentiating Hepatocellular Carcinoma (HCC) From Other Malignancy in Cirrhotic Patients
por: Zhou, Hang, et al.
Publicado: (2021)

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
por: Zhang, Xingping, et al.
Publicado: (2022)

Assessment of Ablative Margin After Microwave Ablation for Hepatocellular Carcinoma Using Deep Learning-Based Deformable Image Registration
por: An, Chao, et al.
Publicado: (2020)

New Blood Biomarkers for the Diagnosis of AFP-Negative Hepatocellular Carcinoma
por: Wang, Ting, et al.
Publicado: (2020)

Diagnostic value of deep learning-assisted endoscopic ultrasound for pancreatic tumors: a systematic review and meta-analysis
por: Lv, Bing, et al.
Publicado: (2023)

Ruptured Hepatocellular Carcinoma: Current Status of Research
por: Xia, Feng, et al.
Publicado: (2022)

An Assisted Diagnosis Model for Cancer Patients Based on Federated Learning
por: Ma, Zezhong, et al.
Publicado: (2022)

Peripheral Blood Genetic Biomarkers for the Early Diagnosis of Hepatocellular Carcinoma
por: Song, Ting, et al.
Publicado: (2021)

CT-Based Deep Learning Model for Invasiveness Classification and Micropapillary Pattern Prediction Within Lung Adenocarcinoma
por: Ding, Hanlin, et al.
Publicado: (2020)

Research Progress of DUB Enzyme in Hepatocellular Carcinoma
por: Zhao, Jie, et al.
Publicado: (2022)

The prognostic significance of inflammation-immunity-nutrition score on postoperative survival and recurrence in hepatocellular carcinoma patients
por: Liang, Yuxin, et al.
Publicado: (2022)

Exosomes in Pathogenesis, Diagnosis, and Treatment of Hepatocellular Carcinoma
por: Li, Shuang, et al.
Publicado: (2022)

Development and Validation of Epigenetic Modification-Related Signals for the Diagnosis and Prognosis of Hepatocellular Carcinoma
por: Lu, Maoqing, et al.
Publicado: (2021)

The Latest Overview of circRNA in the Progression, Diagnosis, Prognosis, Treatment, and Drug Resistance of Hepatocellular Carcinoma
por: Xiong, Dandan, et al.
Publicado: (2021)

MRI Features of Hepatic Sarcomatoid Carcinoma Different From Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
por: Zhang, Hongbin, et al.
Publicado: (2021)

Self-supervised contrastive learning using CT images for PD-1/PD-L1 expression prediction in hepatocellular carcinoma
por: Xie, Tianshu, et al.
Publicado: (2023)

Research Progress on Long Noncoding RNAs and N6-Methyladenosine in Hepatocellular Carcinoma
por: Zhang, Wenjie, et al.
Publicado: (2022)

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning
por: Jiang, Yi-Quan, et al.
Publicado: (2020)

Development of a hepatocellular carcinoma imaging database and structured imaging reports based on PACS, HIS, and repository
por: Shi, Yushu, et al.
Publicado: (2023)

Identification and Validation of Ubiquitin-Specific Proteases as a Novel Prognostic Signature for Hepatocellular Carcinoma
por: Ni, Wenkai, et al.
Publicado: (2021)

Prediction of microvascular invasion in hepatocellular carcinoma based on preoperative Gd-EOB-DTPA-enhanced MRI: Comparison of predictive performance among 2D, 2D-expansion and 3D deep learning models
por: Wang, Tao, et al.
Publicado: (2023)

A Novel Nine-lncRNA Risk Signature Correlates With Immunotherapy in Hepatocellular Carcinoma
por: Nie, Ye, et al.
Publicado: (2021)

Deep learning for the diagnosis of suspicious thyroid nodules based on multimodal ultrasound images
por: Tao, Yi, et al.
Publicado: (2022)

Editorial: The use of deep learning in mapping and diagnosis of cancers
por: Mahajan, Abhishek, et al.
Publicado: (2022)

Diagnosis of architectural distortion on digital breast tomosynthesis using radiomics and deep learning
por: Chen, Xiao, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_o8hd7mlo0dcjkko039f40t1i2g