S. Aparna

Jawaharlal Nehru Technological University, Hyderabad

Papers

Total Citations

H-Index

About

S. Aparna is a researcher at the intersection of artificial intelligence and dental healthcare, with a primary focus on applying deep learning techniques to medical imaging and diagnostics. Her most cited work, "Mask RCNN with RESNET50 for Dental Filling Detection" (2021), introduces a novel approach to automated detection of dental restorations using a combination of Mask R-CNN and ResNet-50 architectures. This contribution addresses the critical challenge of identifying dental fillings in radiographic images, offering a non-invasive method to assess tooth damage and treatment outcomes. With 5 citations, this paper has laid groundwork for integrating computer vision into routine dental examinations, potentially reducing diagnostic errors and improving patient care. Aparna's research underscores the practical application of convolutional neural networks in clinical settings, bridging the gap between advanced AI models and real-world medical needs. Her work is particularly valuable for students and researchers exploring the use of deep learning in specialized healthcare domains, demonstrating how established architectures can be adapted for niche but impactful problems like dental health monitoring.