A Controlled Variation Approach for Example-Based Explainable AI in Colorectal Polyp Classification

A Controlled Variation Approach for Example-Based Explainable AI in Colorectal Polyp Classification

Medical imaging is vital for diagnosing and treating colorectal cancer (CRC), a leading cause of mortality. Classifying colorectal polyps and CRC precursors remains challenging due to operator variability and expertise dependence. Deep learning (DL) models show promise in polyp classification but fa...

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Bibliographic Details
Main Authors: Miguel Filipe Fontes, Alexandre Henrique Neto, João Dallyson Almeida, António Trigueiros Cunha
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
deep learning
Pix2Pix
polyps
example-based
Online Access:https://www.mdpi.com/2076-3417/15/15/8467
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