Author Correction: A novel CT-based radiomics model for predicting response and prognosis of chemoradiotherapy in esophageal squamous cell carcinoma
Akinari Kasai, Jinsei Miyoshi, Yasushi Sato, Koichi Okamoto, Hiroshi Miyamoto, Takashi Kawanaka, Chisato Tonoiso, Masafumi Harada, Masakazu Goto, Takahiro Yoshida, Akihiro Haga, Tetsuji Takayama
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsRadiomics and Machine Learning in Medical Imaging · Esophageal Cancer Research and Treatment · Lung Cancer Diagnosis and Treatment
Correction to: Scientific Reports 10.1038/s41598-024-52418-4, published online 23 January 2024
The original version of this Article contained an error in the Methods section.
Under the subheading, ‘CT imaging protocol’,
“The CT scanning parameters included a tube voltage of 120 kV, tube current auto, pixel size 0.976 × 0.976 0mm^2^, and slice thickness 2.5 mm.”
now reads:
“The CT scanning parameters included a tube voltage of 120 kV, tube current auto, pixel size 0.976 × 0.976 mm^2^, and slice thickness 2.5 mm.”
The original Article has been corrected.