IMAL‐Net: Interpretable Multi‐task Attention Learning Network for Invasive Lung Adenocarcinoma Screening in CT Images

2021 ◽  
Author(s):  
Jun Wang ◽  
Cheng Yuan ◽  
Can Han ◽  
Yaofeng Wen ◽  
Hongbing Lu ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Ct Images ◽  
Learning Network ◽  
Invasive Lung Adenocarcinoma

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

2019 ◽  
Vol 30 (4) ◽  
pp. 1847-1855 ◽  
Author(s):  
Jing Gong ◽  
Jiyu Liu ◽  
Wen Hao ◽  
Shengdong Nie ◽  
Bin Zheng ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Ct Images ◽  
Ground Glass ◽  
Learning Network ◽  
Residual Learning ◽  
Ground Glass Nodule

scholarly journals Pathologic stratification of operable lung adenocarcinoma using radiomics features extracted from dual energy CT images

Oncotarget ◽  
2016 ◽  
Vol 8 (1) ◽  
pp. 523-535 ◽  
Author(s):  
Jung Min Bae ◽  
Ji Yun Jeong ◽  
Ho Yun Lee ◽  
Insuk Sohn ◽  
Hye Seung Kim ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Ct Images ◽  
Dual Energy ◽  
Dual Energy Ct

Nonpredominant lepidic pattern correlates with better outcome in invasive lung adenocarcinoma

Lung Cancer ◽  
2015 ◽  
Vol 90 (3) ◽  
pp. 568-574 ◽  
Author(s):  
Johanna M. Mäkinen ◽  
Kirsi Laitakari ◽  
Shirley Johnson ◽  
Riitta Mäkitaro ◽  
Risto Bloigu ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Invasive Lung Adenocarcinoma

scholarly journals A case of a rare non-invasive lung adenocarcinoma

2020 ◽  
Vol 76 ◽  
pp. 386-389
Author(s):  
Motoaki Yasukawa ◽  
Hiroe Itami ◽  
Tomomi Fujii ◽  
Shigeki Taniguchi ◽  
Chiho Ohbayashi
Keyword(s):  
Lung Adenocarcinoma ◽  
Non Invasive ◽  
Invasive Lung Adenocarcinoma
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