Correction to: Transformer-inspired training principles based breast cancer prediction: combining EfficientNetB0 and ResNet50 (Scientific Reports, (2025), 15, 1, (13501), 10.1038/s41598-025-98523-w)

Research output: Contribution to journalComment/debate

Abstract

Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-025-98523-w, published online 18 April 2025. In the original version of this Article, Tariq Shahzad, Tehseen Mazhar, Sheikh Muhammad Saqib and Khmaies Ouahada were incorrectly added as equally contributing authors. The statement has now been removed. In addition, the Author Contributions section contained an error. “All the author contributes equally. Tariq Shahzad and Tehseen Mazhar perform the Original Writing Part, Software, and Methodology; Sheikh Muhammad Saqib and Tehseen Mazhar perform investigation, design and Conceptualization, Khmaies Ouahada1 Tariq Shahzad and Tehseen Mazhar perform related work part and manage results and discussions; Tariq Shahzad and Tehseen Mazhar perform manage results and discussion; Tehseen Mazhar and Sheikh Muhammad Saqib performs Rewriting, design Methodology, and Visualization.” now reads: “Tariq Shahzad and Tehseen Mazhar perform the Original Writing Part, Software, and Methodology; Sheikh Muhammad Saqib and Tehseen Mazhar perform investigation, design and Conceptualization, Khmaies Ouahada, Tariq Shahzad and Tehseen Mazhar perform related work part and manage results and discussions; Tariq Shahzad and Tehseen Mazhar perform manage results and discussion; Tehseen Mazhar and Sheikh Muhammad Saqib performs Rewriting, design Methodology, and Visualization.” The original Article has been corrected.

Original languageEnglish
Article number32631
JournalScientific Reports
Volume15
Issue number1
DOIs
Publication statusPublished - Dec 2025

ASJC Scopus subject areas

  • Multidisciplinary

Fingerprint

Dive into the research topics of 'Correction to: Transformer-inspired training principles based breast cancer prediction: combining EfficientNetB0 and ResNet50 (Scientific Reports, (2025), 15, 1, (13501), 10.1038/s41598-025-98523-w)'. Together they form a unique fingerprint.

Cite this