Article

SMILES Challenge 2025: Multitask Learning with Contrastive and Natural Language Generation for Enhanced Medical Image Classification

2025-10-27

Abstract excerpt

<title>Abstract</title> <p>This article proposes a novel multitask learning framework that integrates contrastive learning and natural language generation (NLG) to enhance medical image classification and report generation. The goal is to improve disease classification accuracy and interpretability in medical diagnostics. The model architecture consists of a Vision Transformer (ViT) as a visual encoder, a transfo...

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Literature Corpus work: 24ab4aa6-21d9-5760-b895-2913207249a5
DOI: 10.21203/rs.3.rs-7782188/v1

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