OncoMet: a deep learning framework for the prediction of oncogenic signaling pathways and metastasis in esophageal cancer patients using histopathology images from primary tumors

OncoMet: a deep learning framework for the prediction of oncogenic signaling pathways and metastasis in esophageal cancer patients using histopathology images from primary tumors

Abstract Background Despite recent advancements in the diagnosis and prognosis of Esophageal cancer (EC), it remains among the leading causes of cancer-related mortality. Timely and cost-effective diagnosis, particularly in predicting the risk of metastasis and identifying the deregulation of oncoge...

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Bibliographic Details
Main Authors: Syed Wajid Aalam, Abdul Basit Ahanger, Tabasum Majeed, Ab Naffi Ahanger, Tariq Masoodi, Ajaz A. Bhat, Assif Assad, Muzafar Ahmad Macha, Muzafar Rasool Bhat
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Journal of Translational Medicine
Subjects:
Esophageal cancer
Histopathology
Metastasis
Signaling pathways
Deep learning
Machine learning
Online Access:https://doi.org/10.1186/s12967-025-06914-4
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https://doi.org/10.1186/s12967-025-06914-4

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