Automated Screening of Precancerous Cervical Cells Through Contrastive Self-Supervised Learning.

Cervical cancer is a significant health challenge, yet it can be effectively prevented through early detection. Cytology-based screening is critical for identifying cancerous and precancerous lesions; however, the process is labor-intensive and reliant on trained experts to scan through hundreds of thousands of mostly normal cells. To address these challenges, we propose a novel distribution-augmented approach using contrastive self-supervised learning for detecting abnormal squamous cervical cells from cytological images.

Game-Based Digital Interventions for Enhancing Positive Development and Addressing Substance Use in Adolescents: A Systematic Review.

This study systematically reviewed research on the use of digital game approaches for the prevention, assessment, and treatment of substance use and positive development in adolescents. : This study aimed to identify and summarize gaps in the published literature on game-based digital interventions for substance use and positive development for adolescents through a systematic review. : Following PRISMA guidelines, 26 studies were selected for final analysis from an initial screening of 1601 references.

Enhancement of polycaprolactone nanofiber film performance by hydrogen bonding interactions with chitosan for food packaging.

Hybrid environmentally friendly nanocomposite films were synthesized via electrospinning using polycaprolactone (PCL) and chitosan (CH). The resulting nanofiber films displayed a homogeneous fibrous microstructure with average diameters between 250-270 nm. Molecular simulation experiments revealed a progressive increase in hydrogen bonding over time.

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

Radiation therapy is a primary and effective treatment strategy for NasoPharyngeal Carcinoma (NPC). The precise delineation of Gross Tumor Volumes (GTVs) and Organs-At-Risk (OARs) is crucial in radiation treatment, directly impacting patient prognosis. Despite that deep learning has achieved remarkable performance on various medical image segmentation tasks, its performance on OARs and GTVs of NPC is still limited, and high-quality benchmark datasets on this task are highly desirable for model development and evaluation.

Survey of the Actual Practices Used for Endoscopic Removal of Colon Polyps in Korea: A Comparison with the Current Guidelines.

Background/aims: We investigated the clinical practice patterns of Korean endoscopists for the endoscopic resection of colorectal polyps.

Methods: From September to November 2021, an online survey was conducted regarding the preferred resection methods for colorectal polyps, and responses were compared with the international guidelines.

Results: Among 246 respondents, those with <4 years, 4-9 years, and ≥10 years of experience in colonoscopy practices accounted for 25.