Multi-modal data integration of dosiomics, radiomics, deep features, and clinical data for radiation-induced lung damage prediction in breast cancer patients

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101389 - 101389

Опубликована: Март 3, 2025

Язык: Английский

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Neuro_DeFused-Net: A novel multi-scale 2DCNN architecture assisted diagnostic model for Parkinson's disease diagnosis using deep feature-level fusion of multi-site multi-modality neuroimaging data

Computers in Biology and Medicine, Год журнала: 2025, Номер 190, С. 110029 - 110029

Опубликована: Март 18, 2025

Язык: Английский

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Explainable Artificial Intelligence (XAI) in glaucoma assessment: Advancing the frontiers of machine learning algorithms

Knowledge-Based Systems, Год журнала: 2025, Номер unknown, С. 113333 - 113333

Опубликована: Март 1, 2025

Язык: Английский

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Cloud storage-based secure big data analytics mechanism for drone-assisted healthcare 5.0 data fusion system

Information Fusion, Год журнала: 2025, Номер unknown, С. 103085 - 103085

Опубликована: Март 1, 2025

Язык: Английский

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DASNet: A Convolutional Neural Network with SE Attention Mechanism for ccRCC Tumor Grading

Interdisciplinary Sciences Computational Life Sciences, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Язык: Английский

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Advancements and Challenges in Multimodal Data Fusion for Bioinformatics AI

Опубликована: Янв. 13, 2025

Язык: Английский

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Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis

Biomedical Signal Processing and Control, Год журнала: 2025, Номер 105, С. 107620 - 107620

Опубликована: Фев. 3, 2025

Язык: Английский

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Multi-Scale Three-Path Network (MSTP-Net): A new architecture for retinal vessel segmentation

Measurement, Год журнала: 2025, Номер unknown, С. 117100 - 117100

Опубликована: Март 1, 2025

Язык: Английский

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Review of Deterministic and AI-Based Methods for Fluid Motion Modelling and Sloshing Analysis

Energies, Год журнала: 2025, Номер 18(5), С. 1263 - 1263

Опубликована: Март 4, 2025

Contemporary fluid motion modelling techniques, including the phenomenon of liquid sloshing in tanks, are increasingly associated with use artificial intelligence methods. In addition to still frequently used traditional analysis methods and such as FEM, CFD, VOF FSI, there is an increasing number publications that elements intelligence. Among others, neural networks deep learning techniques here field prediction approximation, well genetic other multi-agent algorithms for optimization. This article analyses current state research using above possibilities main directions their further development.

Язык: Английский

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APPBoost: an adaptive parameter pair boosting algorithm for enhanced robustness against noise and imbalance

The Journal of Supercomputing, Год журнала: 2025, Номер 81(4)

Опубликована: Март 9, 2025

Язык: Английский

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