Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features

Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features

Abstract Liver is one of the most common sites for metastases, which can occur on account of primary tumors from multiple sites of origin. Identifying the primary site of origin (PSO) of a metastasis can help in guiding therapeutic options for liver metastases. In this pilot study, we hypothesized t...

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Bibliographic Details
Main Authors: Chuheng Chen, Cheng Lu, Vidya Viswanathan, Brandon Maveal, Bhunesh Maheshwari, Joseph Willis, Anant Madabhushi
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:The Journal of Pathology: Clinical Research
Subjects:
digital pathology
machine learning
deep learning
quantitative histomorphometric image analysis
Online Access:https://doi.org/10.1002/cjp2.344

Internet

https://doi.org/10.1002/cjp2.344

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