Multi-Task AI Matches Separate Models in Breast Ultrasound Analysis
A single attention-gated multi-task network achieved classification and segmentation accuracy comparable to separate dedicated models on breast ultrasound images while ...
Tag: deep learning
Attention-Guided Deep Learning Keeps Apple Sugar Models Accurate Across Harvest Years
A feature attention mechanism embedded in a deep network restored apple sugar-prediction accuracy across three harvest years using only a ...
Deep Learning Model Automates Metabolic Tumor Volume Segmentation in Hodgkin Lymphoma
Researchers validated a disease-specific deep learning architecture that accurately automates metabolic tumor volume segmentation in Hodgkin lymphoma positron-emission tomography scans.
New AI Model Spots Ships Hiding in Radar Images Despite Noise and Clutter
Researchers report that their enhanced YOLOv8n model, MFF-YOLO, improves SAR ship detection accuracy on two benchmark datasets by combining multi-scale ...
Deep learning model denoises noisy traffic data in a single real-time pass
Researchers trained a deep learning model on raw noisy traffic windows to predict expert-filtered targets, cutting forecast errors against the ...
Multi-Scale 3D-CNN With Quantum-Inspired Optimizer Classifies Basketball Tactics From Tracking Data
A multi-scale 3D-CNN tuned by a quantum-inspired metaheuristic optimizer classified eight basketball tactical patterns from player tracking data with 94.3% ...
Dual-branch AI network cleans wearable ECG signals while protecting diagnostic heart waves
Researchers report a dual-branch gated U-Net that removes motion artifacts from wearable ECG recordings while measurably preserving P and T ...
Deep learning model fuses construction plans with monitoring data to forecast diaphragm wall deflections
A deep learning framework that fuses construction schedules with wall-deflection monitoring data cut long-term prediction errors for diaphragm walls at ...
Research report: Adaptive frequency band attention-guided CNN–BiLSTM for Spatial–Spectral–Temporal EEG emotion recognition
The framework, developed by Rabita Hasan and Sheikh Md.
Deep learning segments heart muscle on non-contrast CT for SPECT perfusion quantification
A deep learning model trained on PET/CT data segmented the heart muscle on non-contrast CT scans without manual adjustment, improving ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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