107586 Apr 2026

: 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.

Another significant deep article with this ID, found in the journal Neural Networks (Volume 163, 2025), addresses a fundamental problem in Artificial Intelligence: .

In the medical and behavioral sciences, article 107586 in Preventive Medicine (Volume 173, 2023) focuses on in patients with schizophrenia. 107586

: The model uses a multi-task learning framework that simultaneously performs detection and classification, reducing human error in busy clinical environments.

: By improving the accuracy of nasal bone assessment in the first trimester, it provides a more reliable tool for early fetal health monitoring. 2. Machine Learning: Adaptive Diversity Induced Reweighting : To automatically detect defects and classify fetal

: Analyzing the link between metabolic health (like blood sugar and cholesterol) and cognitive function.

The "topic 107586" typically refers to specific research articles identified by this unique publication number in major scientific databases like ScienceDirect or PubMed . Depending on the field of study, this number corresponds to groundbreaking work in or machine learning optimization . 1. Fetal Ultrasound Diagnostics: FNBUI-NET In the medical and behavioral sciences, article 107586

: 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