Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data

Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data

The field of cancer diagnostics has been revolutionized by liquid biopsies, which offer a bridge between laboratory research and clinical settings. These tests are less invasive than traditional biopsies and more convenient than routine imaging methods. Liquid biopsies allow studying of tumor-derive...

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Bibliographic Details
Main Authors: Maksym A. Jopek, Krzysztof Pastuszak, Sebastian Cygert, Myron G. Best, Thomas Wurdinger, Jacek Jassem, Anna J. Zaczek, Anna Supernat
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Deep learning
liquid biopsies
tumor educated platelets (TEP)
CNN-convolutional neural network
explainable AI
Online Access:https://ieeexplore.ieee.org/document/10418148/
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https://ieeexplore.ieee.org/document/10418148/

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