: Real-world data is often imbalanced; a few "head" categories have many samples, while "tail" categories have very few, leading AI models to ignore rare but important data.
: The model uses a multi-task learning framework that simultaneously performs detection and classification, reducing human error in busy clinical environments. 107586
In the medical and behavioral sciences, article 107586 in Preventive Medicine (Volume 173, 2023) focuses on in patients with schizophrenia. : Real-world data is often imbalanced; a few
Which of these specific fields (Prenatal Imaging, AI Optimization, or Mental Health) Which of these specific fields (Prenatal Imaging, AI
: Unlike traditional methods that just count the number of samples, this approach adjusts the model's focus based on the "richness" of the data. It has shown significant performance boosts on standard datasets like CIFAR-100 and ImageNet-LT. 3. Psychological Intervention in Schizophrenia
A primary research article associated with this ID is published in the journal Biomedical Signal Processing and Control (Volume 104, 2025). The study introduces , a multi-task deep learning model designed to revolutionize prenatal screenings.
: To automatically detect defects and classify fetal nasal bone ultrasound images. The nasal bone is a critical marker for screening chromosomal abnormalities like Down syndrome.
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