肺癌画像診断における人工知能技術
Author:
Affiliation:
1. Center for Frontier Medical Engineering, Chiba University
Publisher
Japan Lung Cancer Society
Subject
Pulmonary and Respiratory Medicine,Oncology
Link
https://www.jstage.jst.go.jp/article/haigan/63/Supplement/63_829/_pdf
Reference8 articles.
1. 1. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015; 521: 436-444.
2. 2. Gu D, Liu G, Xue Z. On the performance of lung nodule detection, segmentation and classification. Comput Med Imaging Graph. 2021; 89: 101886.
3. 3. Tomassini S, Falcionelli N, Sernani P, Burattini L, Dragoni AF. Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey. Comput Biol Med. 2022; 146: 105691.
4. 4. Chassagnon G, De Margerie-Mellon C, Vakalopoulou M, Marini R, Hoang-Thi TN, Revel MP, et al. Artificial intelligence in lung cancer: current applications and perspectives. Jpn J Radiol. 2023; 41: 235-244.
5. 5. Lusted LB. Logical analysis in roentgen diagnosis. Radiology. 1960; 74: 178-193.
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