3 papers
cs.CV2026
Prompt-Based Caption Generation for Single-Tooth Dental Images Using Vision-Language Models
Anastasiia Sukhanova, Aiden Taylor, Julian Myers +5
Digital dentistry has made significant advances with the advent of deep learning. However, the majority of these deep learning-based dental image analysis models focus on very spec…
cs.CL2025
Comparative Analysis of OpenAI GPT-4o and DeepSeek R1 for Scientific Text Categorization Using Prompt Engineering
Aniruddha Maiti, Samuel Adewumi, Temesgen Alemayehu Tikure +4
This study examines how large language models categorize sentences from scientific papers using prompt engineering. We use two advanced web-based models, GPT-4o (by OpenAI) and Dee…
cs.CV2025
Evaluating the Suitability of Different Intraoral Scan Resolutions for Deep Learning-Based Tooth Segmentation
Daron Weekley, Jace Duckworth, Anastasiia Sukhanova +1
Intraoral scans are widely used in digital dentistry for tasks such as dental restoration, treatment planning, and orthodontic procedures. These scans contain detailed topological…