Interactive defect segmentation in X-Ray images based on deep learning

Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning

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A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

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Adaptive depth and receptive field selection network for defect semantic segmentation on castings X-rays

(2020) Han Yu et al.   NDT & E INTERNATIONAL

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

(2020) Aytaç Altan et al.   APPLIED SOFT COMPUTING

Deep learning approaches for COVID-19 detection based on chest X-ray images

(2020) Aras M. Ismael et al.   EXPERT SYSTEMS WITH APPLICATIONS

Technical, Temporal, and Spatial Research Challenges and Opportunities in Blockchain-Based Healthcare: A Systematic Literature Review

(2020) Leili Soltanisehat et al.   IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

A neuro-heuristic approach for recognition of lung diseases from X-ray images

(2019) Qiao Ke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques

(2019) Aytaç Altan et al.   CHAOS SOLITONS & FRACTALS

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

(2019) Nabil Ibtehaz et al.   NEURAL NETWORKS

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION