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Article

Evaluation of a Multimodal Convolutional Neural Network-Based Approach for DICOM Files Classification

2025-12-18

Abstract excerpt

<title>Abstract</title> <p>The Digital Imaging and Communication in Medicine (DICOM) standard preserve both pixel-level image data and clinically relevant metadata. However, conventional deep learning pipelines for medical image classification often discard this metadata by converting DICOM files into formats such as PNG or JPEG, leading to information loss and potential bias. This study evaluated the performance...

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Literature Corpus work
1faa886f-f76e-56e3-8123-8a8f364c4f2f
DOI
10.21203/rs.3.rs-7727424/v1
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Evaluation of a Multimodal Convolutional Neural Network-Based Approach for DICOM Files ClassificationDOI 10.21203/rs.3.rs-7727424/v1
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