Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma

Grove, Olya, Berglund, Anders E., Schabath, Matthew B., Aerts, Hugo J. W. L., Dekker, Andre, Wang, Hua, Velazquez, Emmanuel Rios, Lambin, Philippe +6 more·2015·PLOS ONE

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    Shahab Shayesteh, Isaac Shiri, A H Karami, R Hashemian, Siavash Kooranifar, Habib Ghaznavi, Ali Shakeri‐Zadeh · 2019 · Journal of Biomedical Physics and Engineering
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    Daryoush Saeed‐Vafa, Rafael Bravo, Jamie Dean, Asmaa El-Kenawi, Nathaniel V. Mon Père, Maximilian A.R. Strobl, Charlie J. Daniels, Olya Stringfield, Mehdi Damaghi, Ilke Tunali et al. · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
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  50. CT-based habitat radiomics for predicting treatment response to neoadjuvant chemoimmunotherapy in esophageal cancer patients
    Weibo Kong, Junrui Xu, Yunlong Huang, Kun Zhu, Long Yao, Kaiming Wu, Hanlin Wang, Yuhang Ma, Qi Zhang, Renquan Zhang · 2024 · Frontiers in Oncology
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  62. Correction: Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma
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  77. Quantifying lung cancer heterogeneity using novel CT features: a cross-institute study
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  78. Classification of margin characteristics from 3D pulmonary nodules
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  79. 2.5D peritumoural radiomics predicts postoperative recurrence in stage I lung adenocarcinoma
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  80. RETRACTED: Lung cancer diagnosis of CT images using metaheuristics and deep learning
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  81. Fair Deep Learning Prediction for Healthcare Applications with Confounder Filtering.
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  82. Nanoscale delivery of phytochemicals targeting CRISPR/Cas9 for cancer therapy
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  83. Mutual information-based feature selection for radiomics
    Estanislao Oubel, Hubert Beaumont, Antoine Iannessi · 2016 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
  84. Automated delineation of non‐small cell lung cancer: A step toward quantitative reasoning in medical decision science
    Maliazurina Saad, Ik Hyun Lee, Tae‐Sun Choi · 2019 · International Journal of Imaging Systems and Technology
  85. A Block-Based Arithmetic Entropy Encoding Scheme for Medical Images
    Urvashi Sharma, Meenakshi Sood, Emjee Puthooran, Yugal Kumar · 2020 · International Journal of Healthcare Information Systems and Informatics
  86. Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans
    Tahira Ghani, B. John Oommen · 2020 · Lecture notes in computer science
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  91. Incremental benefits of size-zone matrix-based radiomics features for the prognosis of lung adenocarcinoma: advantage of spatial partitioning on tumor evaluation
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  92. Computed Tomography–Based Radiomic Features for Diagnosis of Indeterminate Small Pulmonary Nodules
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  93. [Prediction of the therapeutic response after target-combined chemotherapy treatment for patients with liver metastasis from colorectal cancer using computed tomography texture analysis].
    Jing Zhang, Yuwen Zhou, Meng Qiu, Bing Wu · 2018 · PubMed Central
  94. Understanding neural circuit principles for representation learning through joint-embedding predictive architectures
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  97. Quantitative Imaging Biomarkers in Precision Medicine
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  98. A quantitative analysis of imaging features in lung CT images using the RW-T hybrid segmentation model
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  99. Leveraging hybrid biomarkers in clinical endpoint prediction
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  100. Retracted: Optimized lung tumor diagnosis system using enhanced version of crow search algorithm, Zernike moments, and support vector machine
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