Machine Learning for Lung Cancer Subtype Classification: Combining Clinical, Histopathological, and Biophysical Features

Machine Learning for Lung Cancer Subtype Classification: Combining Clinical, Histopathological, and Biophysical Features

<b>Background/Objectives:</b> Despite advances in diagnostic techniques, accurate classification of lung cancer subtypes remains crucial for treatment planning. Traditional methods like genomic studies face limitations such as high cost and complexity. This study investigates whether int...

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Bibliographic Details
Main Authors: Aiga Andrijanova, Lasma Bugovecka, Sergejs Isajevs, Donats Erts, Uldis Malinovskis, Andis Liepins
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Diagnostics
Subjects:
lung cancer
cancer subtype classification
atomic force microscopy
biophysical properties
machine learning
Bayesian networks
Online Access:https://www.mdpi.com/2075-4418/15/2/127
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https://www.mdpi.com/2075-4418/15/2/127

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