Sixth Tone

The Shanghai School Opening Hearts and Minds on Autism

At Shanghai’s Aihao Center, parents and teachers are equipping autistic children with the skills they need to thrive in ...
IEEE

Knowledge Distillation Based on Adaptive Learning and Channel Amplification Features for PolSAR Image Classification

Abstract: The models currently used for polarimetric synthetic aperture radar (PolSAR) image classification tasks have problems, such as complex network structures, poor distinction of detailed ...
Frontiers

Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications

1 Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China 2 School of Intelligent Science and Engineering, Harbin Engineering University, Harbin, China Background: As a ...
istockphoto

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Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
BMJ

Deep learning-based automatic image quality assessment in ultra-widefield fundus photographs

Objective With a growing need for ultra-widefield fundus (UWF) fundus photographs in clinics and AI development, image quality assessment (IQA) of UWF fundus photographs is an important preceding step ...
istockphoto

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Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
Frontiers

Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification

Introduction: Breast cancer (BC) is a malignant neoplasm that originates in the mammary gland’s cellular structures and remains one of the most prevalent cancers among women, ranking second in ...
IEEE

Lifelong Learning With Adaptive Knowledge Fusion and Class Margin Dynamic Adjustment for Hyperspectral Image Classification

Abstract: With the rapid growth in satellite imagery acquisition and decreasing revisit intervals, efficient on-orbit processing of hyperspectral data has become critical due to limited onboard ...