Abstract: Correct weather condition classification is crucial in intelligent applications such as autonomous cars, smart surveillance, and environmental monitoring. In this paper, a hybrid deep ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Introduction: Early diagnosis of Alzheimer's disease (AD) remains challenging due to the high similarity among AD, mild cognitive impairment (MCI), and cognitively normal (CN) individuals, as well as ...

This project implements an end-to-end pipeline for automatic anatomical landmark detection in chest X-ray images, achieving clinical excellence with 8.13 pixels ...

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This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

Objective: To develop a deep learning (DL) model for carotid plaque detection based on CTA images and evaluate the clinical application feasibility and value of the model. Methods: We retrospectively ...

Abstract: Fungal species classification is an important task with broad implications for medicine, agriculture, and ecology. Even though they work well, traditional identification techniques ...

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