Article

LisfrancNet: An Advanced DenseNet-Based Deep Learning Model for Automated Detection of Lisfranc Injuries on Radiographs

2025-10-23

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> : Lisfranc injuries are frequently misdiagnosed on conventional radiographs, with misdiagnosis rates reaching 20%. While advanced imaging modalities offer higher diagnostic accuracy, their widespread application is limited by accessibility and cost constraints. <bold>Methods</bold> : This retrospective study analyzed 600 anteroposterior foot radiographs (300...

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Literature Corpus work: bee46057-8291-5861-9279-5194a0daaf7d
DOI: 10.21203/rs.3.rs-7172506/v1

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