Correction: Automated tumor stroma ratio assessment in colorectal cancer using hybrid deep learning approach
Youtput = (Conv11(F combinedEquation 13 now reads:In addition, in the Materials and methods section, under the subheading 'Model training and finetuning' , 'Experimental setting' , the subheading was formatted incorrectly.Furthermore, in the Materials and methods section, under the subheading 'Model training and finetuning' , 'Experimental setting' , 'Validation metrics for classification' , the equations noted were incorrect.As a result, "Equations 14-20 are used to compute these measures:" now reads: "Equations 14-19 are used to compute these measures:" Finally, in the Materials and methods section, under the subheading 'Model training and finetuning' , 'Experimental setting' , 'Validation metrics for segmentation' , the equations noted were incorrect.As a result, "Equations 21-23 are used to calculate these measures:" now reads: "Equations 20-22 are used to calculate these measures:"
Authors
- H. J. Kim
- Tagne Poupi Theodore Armand (ORCID: https://orcid.org/0000-0002-5933-3163)
- Kintoh Allen Nfor (ORCID: https://orcid.org/0009-0009-9186-8369)
- Subrata Bhattacharjee
Institutions
- Inje University (KR)
- Pusan National University (KR)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1038/s41598-026-40529-z
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00