Correction: Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer

Abhishek Mahajan; Gurukrishna B; Shweta Wadhwa; Ujjwal Agarwal; Ujjwal Baid; Sanjay Talbar; Amit Kumar Janu; Vijay Patil; Vanita Noronha; Naveen Mummudi; Anil Tibdewal; JP Agarwal; Subhash Yadav; Rajiv Kumar Kaushal; Ameya Puranik; Nilendu Purandare; Kumar Prabhash

doi:10.37349/etat.2024.00248

Open Access

Correction

Correction: Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer

Affiliation:

¹Clatterbridge Centre for Oncology NHS Foundation Trust, L7 8YA Liverpool, UK ²Department of Radiodiagnosis, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

ORCID: https://orcid.org/0000-0001-6606-6537

Abhishek Mahajan ^1,2*

Affiliation:

²Department of Radiodiagnosis, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Gurukrishna B ² ,

Affiliation:

²Department of Radiodiagnosis, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Shweta Wadhwa ² ,

Affiliation:

²Department of Radiodiagnosis, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

ORCID: https://orcid.org/0000-0001-7414-0696

Ujjwal Agarwal ²

Affiliation:

³Department of Electronics and Telecommunication Engineering, SGGS Institute of Engineering and Technology, Nanded 431606, Maharashtra, India

Ujjwal Baid ³ ,

Affiliation:

³Department of Electronics and Telecommunication Engineering, SGGS Institute of Engineering and Technology, Nanded 431606, Maharashtra, India

ORCID: https://orcid.org/0000-0002-0111-4910

Sanjay Talbar ³

Affiliation:

²Department of Radiodiagnosis, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Amit Kumar Janu ² ,

Affiliation:

⁴Department of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Vijay Patil ⁴ ,

Affiliation:

⁴Department of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Vanita Noronha ⁴ ,

Affiliation:

⁵Department of Radiation Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Naveen Mummudi ⁵ ,

Affiliation:

⁵Department of Radiation Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Anil Tibdewal ⁵ ,

Affiliation:

⁵Department of Radiation Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

JP Agarwal ⁵ ,

Affiliation:

⁶Department of Pathology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Subhash Yadav ⁶ ,

Affiliation:

⁶Department of Pathology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

ORCID: https://orcid.org/0000-0003-0363-3287

Rajiv Kumar Kaushal ⁶

Affiliation:

⁷Department of Nuclear Medicine, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Ameya Puranik ⁷ ,

Affiliation:

⁷Department of Nuclear Medicine, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Nilendu Purandare ⁷ ,

Affiliation:

⁴Department of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India

Kumar Prabhash ⁴

Explor Target Antitumor Ther. 2024;5:800 DOl: https://doi.org/10.37349/etat.2024.00248

Received: Accepted: Published: July 08, 2024

Correction to “Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer” by Mahajan A, et al. Explor Target Antitumor Ther. 2023;4:657–68. DOI: 10.37349/etat.2023.00158

In the original published version of the article, the name of author ‘Subhash Yadav’ was incorrectly spelled as ‘Subash Yadav’. This has now been amended in the HTML and PDF versions of the article.

The original uncorrected PDF can be accessed from https://www.explorationpub.com/uploads/er1002158.pdf

Copyright: © The Author(s) 2024. This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.