Keratin-net: a lightweight self supervised fusion framework for simultaneous classification and localization of keratinization in oral cancer histopathology

Key Points

• Classification and localization of keratinization in oral cancer improves diagnostic insights, with a promising framework.
• The self supervised fusion framework enhances detection accuracy with a focus on histopathological features.
• This framework operates on oral cancer histopathology images, efficiently combining classification techniques.
• Using this approach may enable more precise assessments of keratinization, benefiting future diagnostic methodologies.