Brain Tumor Detection and Classification Using a Hybrid Convolutional Neural Network Learning Method with Support Vector Machine (CNN-SVM) Based on Fuzzy Weighting and Transit Search Optimization (TSO) Algorithm [PDF]
Ali Gholami
openalex +1 more source
Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]
Sci RepSalama WM, Aly MH.
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao +5 more
wiley +1 more source
Comparing Performance of Preprocessing Techniques for Traffic Sign Recognition Using a HOG-SVM [PDF]
Bárbara Vieira
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Efficient Blended Models for Analysis and Detection of Neuropathic Pain from EEG Signals Using Machine Learning. [PDF]
Bioengineering (Basel)Prabhakar SK, Kim KT, Won DO.
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A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced 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
Development and validation of a circulating tumor DNA-based machine learning model for predicting immunotherapy response in non-small cell lung cancer. [PDF]
Transl Cancer ResXia J +12 more
europepmc +1 more source