Automatic Segmentation of Periapical Radiograph Using Color Histogram and Machine Learning for Osteoporosis Detection
Osteoporosis leads to the loss of cortical thickness, a decrease in bone mineral density (BMD), deterioration in the size of trabeculae, and an increased risk of fractures. Changes in trabecular bone due to osteoporosis can be observed on periapical radiographs, which are widely used in dental pract...
Saved in:
Main Authors: | Rini Widyaningrum (Author), Enny Itje Sela (Author), Reza Pulungan (Author), Anindita Septiarini (Author) |
---|---|
Format: | Book |
Published: |
Hindawi Limited,
2023-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Segmentation of periapical lesions with automatic deep learning on panoramic radiographs: an artificial intelligence study
by: Mehmet Boztuna, et al.
Published: (2024) -
Determination of pulp necrosis based on periapical digital radiography histogram and pulp histopathology
by: Emi Khoironi, et al.
Published: (2017) -
Periapical and panoramic radiographs as tools for early prediction of osteoporosis
by: Jorge Homero Wilches Visbal, et al.
Published: (2022) -
ESTIMASI POSE KEPALA MENGGUNAKAN HISTOGRAM OF ORIENTED GRADIENTS DAN MULTICLASS SUPPORT VECTOR MACHINE
by: Ambiya Wikarsa, -
Published: (2019) -
Implementation Segmentation of Color Image with Detection of Color to Detect Object
by: Fajar Mahardika, et al.
Published: (2017)