Results 21 to 30 of about 18,034 (258)
A Subjective Assessment of Perceived Clarity of Indirect Digital Images and Processed Digital Images with Conventional Intra-oral Periapical Radiographs [PDF]
Journal of Clinical and Diagnostic Research, 2013 Objectives: To compare and analyze the perceived clarity and diagnostic value of Conventional periapical Radiographs (CRs) with those of their Digitized Periapical Images (DIs) and Processed Digitized Periapical Images (PDIs) counterparts.
Suchetha N. Malleshi +3 more
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Journal of Dental Research, Dental Clinics, Dental Prospects, 2012 Background and aims. In periapical radiographic technique, the changes will be visible only after considerable deposition or resorption while digital subtraction technique visualizes slight density changes. This study was aimed to compare visualization
Tahmineh Razi +2 more
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Assessment of digital enhancement filters in the radiographic determination of alveolar bone level
Journal of Oral and Maxillofacial Radiology, 2015 Context: Recent studies have emphasized the advantages of digital radiographic imaging systems for periodontal evaluation. Because digital enhancement filters are designed to improve image quality, the real impact of such improvement on diagnostic ...
Matheus Lima Oliveira +3 more
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Utilizing Smart Objects, Smart Filters, and Layers for Nondestructive Radiology Image Editing
MedEdPORTAL, 2010 The latest versions of Photoshop have introduced powerful and useful tools to radiologists. By using the program's Smart Objects, Smart Filters, and Layers, we can now preserve the original quality of our images and perform nondestructive, reversible ...
Mahesh Thapa, George Taylor
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Assessment On Digital Imaging Enhancement For Radiographic Interpretation
Advances in Multidisciplinary and scientific Research Journal Publication, 2021 In recent time digital imaging systems are the most commonly utilized technology in the field of radiology. The screen-film radiography systems are almost replaced by digital radiography. In which the image quality should be optimized while lower radiation dose is maintained according to the properties of the specific imaging system.
A.I Oyedeji, B.J. Adenle, O.I. Ifeka
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Journal of Applied Oral Science, 2005 The purpose of this research was to compare two digital storage phosphor systems and conventional film, as well as verify the interexaminer agreement in radiographic diagnosis on occlusal and proximal cavities.
Anna Sílvia Penteado Setti da Rocha +3 more
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Enhanced Masked Image Modeling for Analysis of Dental Panoramic Radiographs
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023 The computer-assisted radiologic informative report has received increasing research attention to facilitate diagnosis and treatment planning for dental care providers. However, manual interpretation of dental images is limited, expensive, and time-consuming.
Amani Almalki, Longin Jan Latecki
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Acta Scientiarum. Health Sciences, 2015 The aim of this study was investigate the optical density of four different brands of composite resins of nanotechnology. The composite resins Estelite Sigma Quick® (Tokuyama), Esthet –X HD® (Dentsply), 4 Seasons® (Ivoclar Vivadent) and Filtek Z350XTTM (
Lilian Cristina Vessoni Iwaki +4 more
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A level crossing enhancement scheme for chest radiograph images
Computers in Biology and Medicine, 2007 A new approach for contrast enhancement of chest radiograph image data is presented. Existing methods for image enhancement focus mainly on the properties of the image to be processed while excluding any consideration of the observer characteristics. In several applications, particularly in the medical imaging area, effective contrast enhancement for ...
Nagesha, Hemantha Kumar, G.
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K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging
CoRR, 2023 In this paper, we consider the problem of disease diagnosis. Unlike the conventional learning paradigm that treats labels independently, we propose a knowledge-enhanced framework, that enables training visual representation with the guidance of medical domain knowledge.
Chaoyi Wu +4 more
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