Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions
作者：
Highlights：
• State-of-the-art in deep learning based liver image analysis with a focus on malignant liver tumors is presented.
• Papers are reviewed, summarized and categorized based on different deep learning methodologies.
• Best performing methods for each task is provided.
• Ranking based on the DICE score for segmentation, and accuracy for classification and detection tasks.
• Best performing architectures/methodology, data handling and research lines are discussed.
摘要
•State-of-the-art in deep learning based liver image analysis with a focus on malignant liver tumors is presented.•Papers are reviewed, summarized and categorized based on different deep learning methodologies.•Best performing methods for each task is provided.•Ranking based on the DICE score for segmentation, and accuracy for classification and detection tasks.•Best performing architectures/methodology, data handling and research lines are discussed.
论文关键词：Deep-learning,Liver,Lesions,Hepatic vessels,Segmentation
论文评审过程：Received 23 July 2021, Revised 23 May 2022, Accepted 30 May 2022, Available online 9 June 2022, Version of Record 16 June 2022.
论文官网地址：https://doi.org/10.1016/j.artmed.2022.102331
