A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights

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Publication Details

Journal
BMC Gastroenterology
Published
2025-05-10
DOI
https://doi.org/10.1186/s12876-025-03952-6
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights

Bagher Farhood, Anupam Yadav, Sofia Gupta, Subbulakshmi Ganesan et al.
2 citations
BMC Gastroenterology
Radiomics and Machine Learning in Medical Imaging
2.72
article

A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights

Bagher Farhood, Anupam Yadav, Sofia Gupta, Subbulakshmi Ganesan, Muna Alsallal, Mohaned Adil, Zainab H. Athab, Hanan Hassan Ahmed, Radhwan Abdul Kareem, Kamal Kant Joshi, Hayder Naji Sameer, Aman Shankhyan, Ahmed Yaseen
article en
2 citations

Abstract

No abstract available for this paper.
BMC GastroenterologyVol. 25(1)
Jain University (IN), Kashan University of Medical Sciences (IR), Thi Qar University (IQ), Ahl Al Bayt University (IQ), University of Kerbala (IQ), Al-Farahidi University, Al-Muthanna University (IQ), Graphic Era University (IN), Chitkara University (IN), GLA University (IN), Punjab Engineering College (IN)
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.72
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A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights — Bagher Farhood, Anupam Yadav, et al. · BMC Gastroenterology (2025) | TGRS Research Map | TGRS