Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning

Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning

ABSTRACT Lung cancer, marked by the rapid and uncontrolled proliferation of abnormal cells in the lungs, continues to be one of the leading causes of cancer‐related deaths globally. Early and accurate diagnosis is critical for improving patient outcomes. This research presents an enhanced lung cance...

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Bibliographic Details
Main Authors: Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Engineering Reports
Subjects:
AMSF‐L1ELM
deep learning
lung cancer prediction
medical imaging
multi‐domain learning
PADing
Online Access:https://doi.org/10.1002/eng2.13069
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