Predicting Tumor Spread Through Air Space in the Pulmonary Adenocarcinoma Slides Using Deep Learning Model

被引：0
作者：
Lee, S. [1 ]
Han, Y. B. [1 ]
Kim, C. Y. [2 ]
Lee, J. [3 ]
Kwon, H. J. [1 ]
Kim, H. [1 ]
Chung, J. -H. [3 ]
机构：
[1] Seoul Natl Univ, Bundang Hosp, Seongnam, South Korea
[2] Seoul Natl Univ Hosp, Seoul, South Korea
[3] Seoul Natl Univ, Coll Med, Seoul, South Korea
来源：
JOURNAL OF THORACIC ONCOLOGY | 2023年 / 18卷 / 11期
关键词：
STAS; adenocarcinoma; deep learning;
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
MA20.04
引用
收藏
页码：S174 / S174
页数：1
相关论文
共 50 条
  • [21] Preoperative bronchial cytology for the assessment of tumor spread through air spaces in lung adenocarcinoma resection specimens
    Medina, Mayra A.
    Onken, Allison M.
    de Margerie-Mellon, Constance
    Heidinger, Benedikt H.
    Chen, Yigu
    Bankier, Alexander A.
    VanderLaan, Paul A.
    CANCER CYTOPATHOLOGY, 2020, 128 (04) : 278 - 286
  • [22] The Value of CT-Based Radiomics for Predicting Spread Through Air Spaces in Stage IA Lung Adenocarcinoma
    Han, Xiaoyu
    Fan, Jun
    Zheng, Yuting
    Ding, Chengyu
    Zhang, Xiaohui
    Zhang, Kailu
    Wang, Na
    Jia, Xi
    Li, Yumin
    Liu, Jia
    Zheng, Jinlong
    Shi, Heshui
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [23] Channel transformer based multi field-of-view model to detect tumor spread through air space in histopathological images
    Gong, Haotian
    Xi, Jianing
    Li, Cong
    Zhang, Hailong
    Chen, Sisi
    Che, Shuanlong
    Qi, Ling
    Zhang, Guiying
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 266
  • [24] Retrospective analysis of the prognostic implications of tumor spread through air spaces in lung adenocarcinoma patients treated with surgery
    Gutierrez-Sainz, L.
    Lopez-Munoz, S.
    Cruz-Castellanos, P.
    Higuera, O.
    Esteban-Rodriguez, M., I
    Losantos-Garcia, I
    De Castro-Carpeno, J.
    ESMO OPEN, 2022, 7 (05)
  • [25] Pathologic Risk Factors for Recurrence in Early Stage Invasive Lung Adenocarcinoma with Tumor Spread through Air Spaces
    Yi, E.
    Lee, J. H. L.
    Kim, S.
    Chung, J. H.
    Lee, S.
    JOURNAL OF THORACIC ONCOLOGY, 2022, 17 (09) : S230 - S230
  • [26] Prognostic Importance of Tumor Spread Through Air Spaces in Lymph Node Negative Operated Adenocarcinoma Lung Cancers
    Biricik, F.
    Dilege, S.
    Tanju, S.
    Erus, S.
    Bulutay, P.
    Mandel, N.
    JOURNAL OF THORACIC ONCOLOGY, 2017, 12 (11) : S2386 - S2386
  • [27] Comprehensive molecular characterizations of stage I-III lung adenocarcinoma with tumor spread through air spaces
    Ye, Ronghao
    Yu, Yongfeng
    Zhao, Ruiying
    Han, Yuchen
    Lu, Shun
    FRONTIERS IN GENETICS, 2023, 14
  • [28] A Deep Learning Model for Prostate Adenocarcinoma Classification in Needle Biopsy Whole-Slide Images Using Transfer Learning
    Tsuneki, Masayuki
    Abe, Makoto
    Kanavati, Fahdi
    DIAGNOSTICS, 2022, 12 (03)
  • [29] An advanced nomogram model using deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma
    Ye, Guanchao
    Zhang, Chi
    Zhuang, Yuzhou
    Liu, Hong
    Song, Enmin
    Li, Kuo
    Liao, Yongde
    TRANSLATIONAL ONCOLOGY, 2024, 44
  • [30] Predicting output performance of triboelectric nanogenerators using deep learning model
    Jiang, Min
    Li, Bao
    Jia, Wenzhu
    Zhu, Zhiyuan
    NANO ENERGY, 2022, 93
12345