Enhancing Learning-Based Cross-Modality Prediction for Lossless Medical Imaging Compression

Multimodal medical imaging, which involves the simultaneous acquisition of different modalities, enhances diagnostic accuracy and provides comprehensive visualization of anatomy and physiology. However, this significantly increases data size, posing storage and transmission challenges. Standard imag...

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Vydané v:	IEEE open journal of signal processing Ročník 6; s. 489 - 497
Hlavní autori:	Nicolau, Daniel S., Thomaz, Lucas A., Tavora, Luis M. N., Faria, Sergio M. M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Artificial neural networks Codec Coding Complexity Computed tomography Deep learning Encoding Generative adversarial networks Generative predictive coding Image coding learning-based prediction lossless image coding Machine learning Magnetic resonance imaging Medical diagnostic imaging Medical imaging Medical services multimodal medical imaging Positron emission Translation versatile video coding
ISSN:	2644-1322, 2644-1322
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