Results 11 to 20 of about 18,103 (291)

Radiographic Image Enhancement by Wiener Decorrelation

, 1992
The primary focus of the application of image processing to radiography is the problem of segmentation. The general segmentation problem has been attacked on a broad front [1, 2], and thresholding, in particular, is a popular method [1, 3-6]. Unfortunately, geometric unsharpness destroys the crisp edges needed for unambiguous decisions, and this ...
Bell, Zane, Godfrey, B.
openaire   +5 more sources

Brightness and contrast adjustments influence proximal caries detection on handheld X-ray radiographs [PDF]

Brazilian Oral Research
This study evaluated the influence of brightness and contrast adjustments on the diagnosis of proximal caries lesions in radiographs acquired with a handheld X-ray device.
Débora Costa RUIZ, Marcyele Natane da Silva MORAIS, Hugo GAÊTA-ARAUJO, Matheus Lima OLIVEIRA, Deborah Queiroz FREITAS, Francisco HAITER-NETO   +5 more
doaj   +3 more sources

Investigation on the effects of radiographic image quality attributes on the performance of convolutional neural networks (CNNS) in detecting COVID-19

PUP Journal of Science and Technology
Radiographic image quality is one of the factors that impacts professionals’ decisions when diagnosing lung diseases using X-ray images. Hence, poor radiographic image quality could result in a misleading diagnosis affecting the person being ...
Reymond R. Mesuga
doaj   +3 more sources

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images [PDF]

Computation, 2022
The present study evaluated a newly developed computational tool (CT) to assess the alveolar bone space and the alveolar crest angle and compares it to dentist assessment (GT).
M. Maithri, Dhanush G. Ballal, Santhosh Kumar, U. Raghavendra, Anjan Gudigar, Wai Yee Chan, Shravya Macherla, Ravindranath Vineetha, Pratibha Gopalkrishna, Edward J. Ciaccio, U. Rajendra Acharya   +10 more
doaj   +2 more sources

Precision Medicine Assessment of the Radiographic Defect Angle of the Intrabony Defect in Periodontal Lesions by Deep Learning of Bitewing Radiographs

Bioengineering
In dental diagnosis, evaluating the severity of periodontal disease by analyzing the radiographic defect angle of the intrabony defect is essential for effective treatment planning.
Patricia Angela R. Abu, Yi-Cheng Mao, Yuan-Jin Lin, Chien-Kai Chao, Yi-He Lin, Bo-Siang Wang, Chiung-An Chen, Shih-Lun Chen, Tsung-Yi Chen, Kuo-Chen Li   +9 more
doaj   +4 more sources

Multi‐step radiographic image enhancement conforming to weld defect segmentation

IET Image Processing, 2015
To improve the accuracy of automatic defect segmentation in radiographic non‐destructive testing and evaluation, the authors proposed a multi‐step radiographic image enhancement algorithm (MSRE) conforming to weld defect segmentation. In this algorithm, the requirement of defect segmentation is fully considered when enhancing a radiographic testing ...
Changying Dang, Fumin Chen
exaly   +2 more sources

Automatic Radiology Report Generator Using Transformer With Contrast-Based Image Enhancement

IEEE Access
Writing radiology reports based on radiographic images is a time-consuming task that demands the expertise of skilled radiologists. Consequently, the integration of technology capable of automated report generation would be advantageous.
Hilya Tsaniya, Chastine Fatichah, Nanik Suciati   +2 more
doaj   +2 more sources

The Effect of Different Image Processing Techniques on the Measurement Accuracy of Endodontics File Length [PDF]

Journal of Dentistry, 2023
Statement of the Problem: Different software capabilities have been used in digital systems to increase the diagnostic quality of radiographic projections. Considering the availability of different enhancement techniques, it is necessary to determine the
Sima Nikneshan, Rabieh Boroumand, Nasim Esmaeeli, Ali Azadikhah, Maryam Paknahad   +4 more
doaj   +1 more source

Predicting Malignancy of Breast Imaging Findings Using Quantitative Analysis of Contrast-Enhanced Mammography (CEM)

Diagnostics, 2023
We sought to develop new quantitative approaches to characterize the spatial distribution of mammographic density and contrast enhancement of suspicious contrast-enhanced mammography (CEM) findings to improve malignant vs.
Matthew M. Miller, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde   +2 more
doaj   +1 more source

Enhancement of radiographic images in patients with lung nodules [PDF]

Thoracic Cancer, 2011
AbstractDetection of lung nodules in a chest Radiograph is very difficult due to sensitivity to noise, lighting, and similar disturbances of the blood vessels and trachea. Therefore, such images need to be carefully examined to identify and characterize lung lesions.
Maher I, Rajab, Ayman A, Eskandar
openaire   +2 more sources