Chronic liver disease detection using deep convolutional neural networks with MRI data: a deep learning approach

The DeepCNN model provides superior accuracy in diagnosing CLD compared to traditional ML methods, using MRI images without segmentation. This approach offers a practical solution for improving CLD detection and paves the way for future enhancements using attention mechanisms and advanced deep learning architectures.

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Publication Details

Journal
Polish Journal of Radiology
Published
2026-01-15
DOI
https://doi.org/10.5114/pjr/210254
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Chronic liver disease detection using deep convolutional neural networks with MRI data: a deep learning approach

Emre Altinkaya, Emre Emekli, Elif Gündoğdu, Elif ZOROĞLU ALTINKAYA
Polish Journal of Radiology
Liver Disease Diagnosis and Treatment
article

Chronic liver disease detection using deep convolutional neural networks with MRI data: a deep learning approach

Emre Altinkaya, Emre Emekli, Elif Gündoğdu, Elif ZOROĞLU ALTINKAYA
article en

Abstract

The DeepCNN model provides superior accuracy in diagnosing CLD compared to traditional ML methods, using MRI images without segmentation. This approach offers a practical solution for improving CLD detection and paves the way for future enhancements using attention mechanisms and advanced deep learning architectures.

Polish Journal of RadiologyVol. 91(1)
Eskişehir Osmangazi University (TR)
Openalex Percentile: Top 87%
Liver Disease Diagnosis and Treatment
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