A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment

Frontiers in Genetics, Journal Year: 2023, Volume and Issue: 14

Published: July 20, 2023

Accurate diagnosis is the key to providing prompt and explicit treatment disease management. The recognized biological method for molecular of infectious pathogens polymerase chain reaction (PCR). Recently, deep learning approaches are playing a vital role in accurately identifying disease-related genes diagnosis, prognosis, treatment. models reduce time cost used by wet-lab experimental procedures. Consequently, sophisticated computational have been developed facilitate detection cancer, leading cause death globally, other complex diseases. In this review, we systematically evaluate recent trends multi-omics data analysis based on techniques their application prediction. We highlight current challenges field discuss how advances methods optimization overcoming them. Ultimately, review promotes development novel deep-learning methodologies integration, which essential

Language: Английский

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Systematic review of artificial intelligence methods for detection and segmentation of unruptured intracranial aneurysms using medical imaging

Medical & Biological Engineering & Computing, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Language: Английский

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Multi-scale conv-attention U-Net for medical image segmentation

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 8, 2025

U-Net-based network structures are widely used in medical image segmentation. However, effectively capturing multi-scale features and spatial context information of complex organizational remains a challenge. To address this, we propose novel structure based on the U-Net backbone. This model integrates Adaptive Convolution (AC) module, Multi-Scale Learning (MSL) Conv-Attention module to enhance feature expression ability segmentation performance. The AC dynamically adjusts convolutional kernel through an adaptive layer. enables extract different shapes scales adaptively, further improving its performance scenarios. MSL is designed for fusion. It aggregates fine-grained high-level semantic from resolutions, creating rich connections between encoding decoding processes. On other hand, incorporates efficient attention mechanism into skip connections. captures global using low-dimensional proxy high-dimensional data. approach reduces computational complexity while maintaining effective channel extraction. Experimental validation CVC-ClinicDB, MICCAI 2023 Tooth, ISIC2017 datasets demonstrates that our proposed MSCA-UNet significantly improves accuracy robustness. At same time, it lightweight outperforms existing methods.

Language: Английский

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A Review of the Application of Attention Mechanism in Medicine

Software Engineering and Applications, Journal Year: 2022, Volume and Issue: 11(06), P. 1223 - 1232

Published: Jan. 1, 2022

Language: Английский

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