Results 191 to 200 of about 424,107 (362)

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni   +11 more
wiley   +1 more source

Characterisation of the expression of P2X7 receptor, cancer stem cell markers and immunological mediators in human high-grade gliomas. [PDF]

open access: yesBMC Neurosci
Kan LK   +14 more
europepmc   +1 more source

CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set

open access: yesAdvanced Intelligent Systems, EarlyView.
In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng   +4 more
wiley   +1 more source

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

open access: yesAdvanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding   +5 more
wiley   +1 more source

On‐Device Brain Tumor Classification from MR Images Using Smartphone

open access: yesAdvanced Intelligent Systems, EarlyView.
Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun   +3 more
wiley   +1 more source

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