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A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM
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82
Convolutional neural networks for diabetic retinopathy detection
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83
Brain tumor detection across diverse MR images: An automated triple-module approach integrating reduced fused deep features and machine learning
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84
Spaciotemporal distribution characteristics of glacial lakes and the factors influencing the Southeast Tibetan Plateau from 1993 to 2023
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85
Automated quantification of anterior chamber cells using swept-source anterior segment optical coherence tomography
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86
The role of Artificial Intelligence in detecting breast lesions using ultrasound
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87
Characterization of the Pore Network of a Cohesive Oxisol Through Morphological and Pore Complexity Analyses
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88
Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices
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89
HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images
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90
Smartphone image dataset for radish plant leaf disease classification from BangladeshMendeley Data
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91
Facilitating free travel in the Schengen area—A position paper by the European Association for Biometrics
Published 2023-03-01Subjects: Get full text
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92
Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It
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93
Diagnostic efficacy and necessity of 18F-FDG PET/CT in fever of unknown origin: insights from a retrospective cohort study
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94
CausalXtract, a flexible pipeline to extract causal effects from live-cell time-lapse imaging data
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95
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96
The Application of Supervised Machine Learning Algorithms for Image Alignment in Multi-Channel Imaging Systems
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97
Federated Learning Approach for Breast Cancer Detection Based on DCNN
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98
Mapping Tree-Covered Forest Formations (Case Study: Beni-Mellal Forest): Evaluation Study of the Potential of the Mohammed VI-B Satellite Image
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99
Microstructural Insights into Solid Particle Erosion in a High-Chromium Cast Iron
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100
2D size, position and shape definition of defects by B-scan image analysis
Published 2015-10-01Subjects: Get full text
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