107586 〈INSTANT | Method〉

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

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. 107586

: The study evaluates how psychological interventions can help manage metabolic risks, which are significantly higher in patients taking long-term antipsychotic medications. The "topic 107586" typically refers to specific research

: 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. : To automatically detect defects and classify fetal

: 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.