[PDF][PDF] 人工智能在肝细胞癌MRI 的应用进展
高子涵， 罗与， 吴亚平， 白岩， 王梅云 - 磁共振成像, 2023 - med-sci.cn
肝细胞癌(hepatocellular carcinoma, HCC) 是目前全球癌症死亡的第三大原因,
对人类健康构成重大威胁, 对HCC 的早期诊断以及预后预测成为当前研究的热点. 近年来 …
对人类健康构成重大威胁, 对HCC 的早期诊断以及预后预测成为当前研究的热点. 近年来 …
[HTML][HTML] Application of artificial intelligence in preoperative imaging of hepatocellular carcinoma: Current status and future perspectives
B Feng, XH Ma, S Wang, W Cai, XB Liu… - World journal of …, 2021 - ncbi.nlm.nih.gov
Hepatocellular carcinoma (HCC) is the most common primary malignant liver tumor in
China. Preoperative diagnosis of HCC is challenging because of atypical imaging …
China. Preoperative diagnosis of HCC is challenging because of atypical imaging …
[HTML][HTML] Machine Learning for Hepatocellular Carcinoma Segmentation at MRI: Radiology In Training
A 68-year-old woman with a history of hepatocellular carcinoma underwent conventional
transarterial chemoembolization. Manual tumor segmentation on images, which can be …
transarterial chemoembolization. Manual tumor segmentation on images, which can be …
Accurate imaging diagnosis and recurrence prediction of hepatocellular carcinoma based on artificial intelligence
LIU Yiping, LI Xinping, C Lei, XIA Jinju, S Kairong… - 临床肝胆病杂志, 2022 - lcgdbzz.org
The integration of artificial intelligence into the medical field is developing rapidly and has
achieved ground-breaking advances in the diagnosis, treatment, and efficacy evaluation of …
achieved ground-breaking advances in the diagnosis, treatment, and efficacy evaluation of …
[HTML][HTML] The role of radiomics and AI technologies in the segmentation, detection, and management of hepatocellular carcinoma
Simple Summary As a primary hepatic tumor, hepatocellular carcinoma (HCC) is the most
prevalent kind. Recent developments in magnetic resonance imaging (MRI) and computed …
prevalent kind. Recent developments in magnetic resonance imaging (MRI) and computed …
[HTML][HTML] Artificial Intelligence, Machine Learning, and Deep Learning in the Diagnosis and Management of Hepatocellular Carcinoma
C Larrain, A Torres-Hernandez, DB Hewitt - Livers, 2024 - mdpi.com
Artificial Intelligence (AI) can be a useful tool in the management of disease processes such
as hepatocellular carcinoma (HCC) as treatment decisions are often complex and …
as hepatocellular carcinoma (HCC) as treatment decisions are often complex and …
Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks
Objective To assess the performance of convolutional neural networks (CNNs) for
semiautomated segmentation of hepatocellular carcinoma (HCC) tumors on MRI. Methods …
semiautomated segmentation of hepatocellular carcinoma (HCC) tumors on MRI. Methods …
Deep Learning Combined with Radiologist's Intervention Achieves Accurate Segmentation of Hepatocellular Carcinoma in Dual‐Phase Magnetic Resonance Images
Y Ye, N Zhang, D Wu, B Huang, X Cai… - BioMed Research …, 2024 - Wiley Online Library
Purpose. Segmentation of hepatocellular carcinoma (HCC) is crucial; however, manual
segmentation is subjective and time‐consuming. Accurate and automatic lesion contouring …
segmentation is subjective and time‐consuming. Accurate and automatic lesion contouring …
[HTML][HTML] Prognostication of Hepatocellular Carcinoma Using Artificial Intelligence
Hepatocellular carcinoma (HCC) is a biologically heterogeneous tumor characterized by
varying degrees of aggressiveness. The current treatment strategy for HCC is predominantly …
varying degrees of aggressiveness. The current treatment strategy for HCC is predominantly …