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Deep Learning for Lesion Classification in CT Imaging: A Systematic Literature Review

2026-08-11

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<title>Abstract</title> <p>Accurate lesion classification in computed tomography (CT) imaging is crucial for early diagnosis and effective clinical decision-making. With the growing adoption of low-dose CT (LDCT) to reduce radiation exposure and the rapid evolution of deep learning (DL), automated lesion analysis has gained significant momentum. Despite this progress, existing research often lacks a unified asses...

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Literature Corpus work: 6f7445a5-0814-5d29-89ab-fdfe3763efbe
DOI: 10.21203/rs.3.rs-10632411/v1

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