2018/12/23 by Diganta Misra, Misra, Diganta, Vanshika Arora +1
Computer Science · Dentistry · Medicine · #AI in cancer detection #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Dentistry #FOS: Computer and information sciences #Feature (linguistics) #Image (mathematics) #Image processing #Information Retrieval (cs.IR) #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #Medicine #Orthodontics #Periodontitis #Pipeline (software) #Radiography #Radiology #cs.CV #cs.IR
paper · pdf · doi:10.48550/arxiv.1812.09693
15 pages, 42 figures and Submitted at ICIAP 2019: 21st International Conference on Image Analysis and Processing
openalex publication_date 2018/12/23 · arxiv created 2019/03/22 · arxiv updated 2019/03/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
With the recent advancements in Image Processing Techniques and development of new robust computer vision algorithms, new areas of research within Medical Diagnosis and Biomedical Engineering are picking up pace. This paper provides a comprehensive in-depth case study of Image Processing, Feature Extraction and Analysis of Apical Periodontitis diagnostic cases in IOPA (Intra Oral Peri-Apical) Radiographs, a common case in oral diagnostic pipeline. This paper provides a detailed analytical approach towards improving the diagnostic procedure with improved and faster results with higher accuracy targeting to eliminate True Negative and False Positive cases.