Reply to Okura et al. Comment on “Pu et al. Predicting Postoperative Lung Cancer Recurrence and Survival Using Cox Proportional Hazards Regression and Machine Learning. Cancers 2025, 17, 33”

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Publication Details

Journal
Cancers
Published
2025-02-21
DOI
https://doi.org/10.3390/cancers17050727
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72

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article

Reply to Okura et al. Comment on “Pu et al. Predicting Postoperative Lung Cancer Recurrence and Survival Using Cox Proportional Hazards Regression and Machine Learning. Cancers 2025, 17, 33”

Rajeev Dhupar, Lucy Pu, Xin Meng
2 citations
Cancers
Radiomics and Machine Learning in Medical Imaging
2.72
article

Reply to Okura et al. Comment on “Pu et al. Predicting Postoperative Lung Cancer Recurrence and Survival Using Cox Proportional Hazards Regression and Machine Learning. Cancers 2025, 17, 33”

Rajeev Dhupar, Lucy Pu, Xin Meng
article en
2 citations

Abstract

No abstract available for this paper.
CancersVol. 17(5)
University of Pittsburgh (US), Wake Forest University (US), University of Pennsylvania (US)
University of Pittsburgh, National Institutes of Health, Medical Center, University of Pittsburgh
Good health and well-being
Openalex Percentile: Top 12%
Radiomics and Machine Learning in Medical Imaging
2.72
DOIOpen Access PDFOpenAlex
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