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

• Main Authors: Abhishek Mahajan (Author), Gurukrishna B (Author), Shweta Wadhwa (Author), Ujjwal Agarwal (Author), Ujjwal Baid (Author), Sanjay Talbar (Author), Amit Kumar Janu (Author), Vijay Patil (Author), Vanita Noronha (Author), Naveen Mummudi (Author), Anil Tibdewal (Author), JP Agarwal (Author), Subash Yadav (Author), Rajiv Kumar Kaushal (Author), Ameya Puranik (Author), Nilendu Purandare (Author), Kumar Prabhash (Author)
• Format: Book
• Published: Open Exploration Publishing Inc., 2023-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Aim: The aim of this study was to investigate the feasibility of developing a deep learning (DL) algorithm for classifying brain metastases from non-small cell lung cancer (NSCLC) into epidermal growth factor receptor (EGFR) mutation and anaplastic lymphoma kinase (ALK) rearrangement groups and to c...