Enhancing Swin Transformer with Semantic Attention for Explainable Prediction: A Case Study with Lung Cancer CT Images

被引:0
|
作者
Rangnekar, A. [1 ]
Jiang, J. [2 ]
Veeraraghavan, H. [1 ]
机构
[1] Mem Sloan Kettering Canc Ctr, 1275 York Ave, New York, NY 10021 USA
[2] Mem Sloan Kettering Canc Ctr, Dept Med Phys, New York, NY 10021 USA
关键词
D O I
暂无
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
引用
收藏
页码:6580 / 6580
页数:1
相关论文
共 50 条
  • [21] A novel explainable image classification framework: case study on skin cancer and plant disease prediction
    Pintelas, Emmanuel
    Liaskos, Meletis
    Livieris, Ioannis E.
    Kotsiantis, Sotiris
    Pintelas, Panagiotis
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (22): : 15171 - 15189
  • [22] Explainable Machine Learning Framework for Image Classification Problems: Case Study on Glioma Cancer Prediction
    Pintelas, Emmanuel
    Liaskos, Meletis
    Livieris, Ioannis E.
    Kotsiantis, Sotiris
    Pintelas, Panagiotis
    JOURNAL OF IMAGING, 2020, 6 (06)
  • [23] A novel explainable image classification framework: case study on skin cancer and plant disease prediction
    Emmanuel Pintelas
    Meletis Liaskos
    Ioannis E. Livieris
    Sotiris Kotsiantis
    Panagiotis Pintelas
    Neural Computing and Applications, 2021, 33 : 15171 - 15189
  • [24] Enhancing Skin Cancer Diagnosis Using Swin Transformer with Hybrid Shifted Window-Based Multi-head Self-attention and SwiGLU-Based MLP
    Pacal, Ishak
    Alaftekin, Melek
    Zengul, Ferhat Devrim
    JOURNAL OF IMAGING INFORMATICS IN MEDICINE, 2024, 37 (06): : 3174 - 3192
  • [25] NAVT-net neuron attention visual taylor network for lung cancer detection using CT images
    Jimson, Lokanathan
    Ananth, John Patrick
    COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2025, 115
  • [26] Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism
    Qin, RuoXi
    Wang, Zhenzhen
    Jiang, LingYun
    Qiao, Kai
    Hai, Jinjin
    Chen, Jian
    Xu, Junling
    Shi, Dapeng
    Yan, Bin
    COMPLEXITY, 2020, 2020 (2020)
  • [27] Comparison of prediction models with radiological semantic features and radiomics in lung cancer diagnosis of the pulmonary nodules: a case-control study
    Wu, Wei
    Pierce, Larry A.
    Zhang, Yuzheng
    Pipavath, Sudhakar N. J.
    Randolph, Timothy W.
    Lastwika, Kristin J.
    Lampe, Paul D.
    Houghton, A. McGarry
    Liu, Haining
    Xia, Liming
    Kinahan, Paul E.
    EUROPEAN RADIOLOGY, 2019, 29 (11) : 6100 - 6108
  • [28] Comparison of prediction models with radiological semantic features and radiomics in lung cancer diagnosis of the pulmonary nodules: a case-control study
    Wei Wu
    Larry A. Pierce
    Yuzheng Zhang
    Sudhakar N. J. Pipavath
    Timothy W. Randolph
    Kristin J. Lastwika
    Paul D. Lampe
    A. McGarry Houghton
    Haining Liu
    Liming Xia
    Paul E. Kinahan
    European Radiology, 2019, 29 : 6100 - 6108
  • [29] Lymphovascular Invasion Prediction with CT images in Patients with Non-Small Cell Lung Cancer (NSCLC)
    Lee, M. M.
    Park, I.
    Yong, S. Byoung
    Cho, D. G.
    Kim, S. H.
    JOURNAL OF THORACIC ONCOLOGY, 2023, 18 (11) : S571 - S572
  • [30] LUNG CANCER SURVIVAL PREDICTION FROM PATHOLOGICAL IMAGES AND GENETIC DATA - AN INTEGRATION STUDY
    Zhu, Xinliang
    Yao, Jiawen
    Luo, Xin
    Xiao, Guanghua
    Xie, Yang
    Gazdar, Adi
    Huang, Junzhou
    2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2016, : 1173 - 1176