A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images

被引：0
作者：
I-Cheng Lee
Yung-Ping Tsai
Yen-Cheng Lin
Ting-Chun Chen
Chia-Heng Yen
Nai-Chi Chiu
Hsuen-En Hwang
Chien-An Liu
Jia-Guan Huang
Rheun-Chuan Lee
Yee Chao
Shinn-Ying Ho
Yi-Hsiang Huang
机构：
[1] Taipei Veterans General Hospital,Division of Gastroenterology and Hepatology, Department of Medicine
[2] National Yang Ming Chiao Tung University,School of Medicine
[3] National Yang Ming Chiao Tung University,Institute of Bioinformatics and Systems Biology
[4] National Yang Ming Chiao Tung University,Institute of Computer Science and Engineering
[5] Taipei Veterans General Hospital,Department of Radiology
[6] National Taiwan University School of Medicine,Cancer Center
[7] Taipei Veterans General Hospital,Department of Biological Science and Technology
[8] National Yang Ming Chiao Tung University,Center for Intelligent Drug Systems and Smart Bio
[9] National Yang Ming Chiao Tung University,devices (IDS 2 B)
[10] Kaohsiung Medical University,College of Health Sciences
[11] National Yang Ming Chiao Tung University,Institute of Clinical Medicine
[12] Taipei Veterans General Hospital,Healthcare and Service Center
来源：
Cancer Imaging | / 24卷
关键词：
Hepatocellular carcinoma; Deep learning; Segmentation; Detection; Computed tomography;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 90 条
[1]  
Llovet JM(2021)Hepatocellular carcinoma Nat Rev Dis Primers 7 6-27
[2]  
Kelley RK(2021)Up-to-date role of CT/MRI LI-RADS in Hepatocellular Carcinoma J Hepatocell Carcinoma 8 513-7
[3]  
Villanueva A(2017)Tired in the reading room: the influence of fatigue in radiology J Am Coll Radiol 14 191-46
[4]  
Singal AG(2022)Predicting cancer outcomes with radiomics and artificial intelligence in radiology Nat Rev Clin Oncol 19 132-82
[5]  
Pikarsky E(2021)Evolutionary learning-derived clinical-Radiomic models for Predicting Early recurrence of Hepatocellular Carcinoma after Resection Liver Cancer 10 572-80
[6]  
Roayaie S(2020)Liver tumor segmentation based on 3D convolutional neural network with dual scale J Appl Clin Med Phys 144 57-7
[7]  
Moura Cunha G(2018)AASLD guidelines for the treatment of hepatocellular carcinoma Hepatology 67 358-37
[8]  
Chernyak V(2018)Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing Sci Rep 8 1-26
[9]  
Fowler KJ(2019)Pytorch: an imperative style, high-performance deep learning library Adv Neural Inf Process Syst 32 8026-56
[10]  
Sirlin CB(2018)HyperDense-Net: a hyper-densely connected CNN for multi-modal image segmentation IEEE Trans Med Imaging 38 1116-70
123456789