Devyani Rawat

Graphic Era University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Devyani Rawat is pioneering the intersection of machine vision and medical diagnostics, with a focused commitment to advancing early lung cancer detection. Her most-cited work introduces a novel machine vision technique that leverages sophisticated image segmentation within a digital diagnostic system, aiming to enhance both the precision and efficiency of identifying malignant lung nodules. This research directly addresses the critical global health challenge of lung cancer, where early and accurate diagnosis is paramount. By developing algorithms that can meticulously parse complex medical imagery, Dr. Rawat's contributions promise to reduce diagnostic errors and expedite treatment pathways. Her work, already garnering attention in the field, lays a foundational stone for more autonomous and reliable screening tools. Dr. Rawat's research is not merely a technical exercise; it is a vital step toward integrating artificial intelligence into clinical workflows, ultimately aiming to improve patient outcomes through faster, more consistent, and less invasive diagnostic processes. Her dedication marks her as a rising voice in the crucial domain of AI-driven healthcare.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Machine Vision Technique with Image Segmentation in Digital Diagnostic System for Lung Cancer Detection
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Graphic Era University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago