Article

Multi-Modal Deep Learning Architecture for Improved Colposcopy Image Classification

2024-11-04

Abstract excerpt

Colposcopy image classification is vital for early cervical cancer detection, yet it remains challenging due to the significant variation in lesion appearances. Although deep learning models have advanced medical image classification, few studies have explored combining different model architectures to enhance diagnostic accuracy in colposcopy. This study addresses this gap by proposing a lesion-specific, multi-br...

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Literature Corpus work: 0778dab5-d7a4-56f4-99d0-8f1e5113346e
DOI: 10.20944/preprints202411.0150.v1

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