Do image enhancement filters in complementary metal oxide semiconductor and photostimulable phosphor imaging systems improve the detection of fractured endodontic instruments in periapical radiography?

Costa, Elizabeth Oliveira da; Brasil, Danieli Moura; Gaêta‐Araujo, Hugo; Oliveira‐Santos, Christiano; Freitas, Deborah Queiroz

doi:10.1016/j.oooo.2020.07.013

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…Digital storage of radiographs enables the use of image manipulation tools in clinical decision-making. However, image enhancement filters were not found to be useful in the detection of fractured instruments [34]. AI can simulate natural intellect for prediction and decision-making performed by human intelligence in the medical industry.…”

Section: Discussionmentioning

confidence: 99%

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Detection of the separated endodontic instrument on periapical radiographs using a deep learning‐based convolutional neural network algorithm

Özbay,

Kazangirler,

Özcan

et al. 2023

Aust Endodontic J

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The study evaluated the diagnostic performance of an artificial intelligence system to detect separated endodontic instruments on periapical radiograph radiographs. Three hundred seven periapical radiographs were collected and divided into 222 for training and 85 for testing to be fed to the Mask R‐CNN model. Periapical radiographs were assigned to the training and test set and labelled on the DentiAssist labeling platform. Labelled polygonal objects had their bounding boxes automatically generated by the DentiAssist system. Fractured instruments were classified and segmented. As a result of the proposed method, the mean average precision (mAP) metric was 98.809%, the precision value was 95.238, while the recall reached 98.765 and the f1 score 96.969%. The threshold value of 80% was chosen for the bounding boxes working with the Intersection over Union (IoU) technique. The Mask R‐CNN distinguished separated endodontic instruments on periapical radiographs.

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Section: Discussionmentioning

confidence: 99%

“…Digital storage of radiographs enables the use of image manipulation tools in clinical decision‐making. However, image enhancement filters were not found to be useful in the detection of fractured instruments [34].…”

Section: Discussionmentioning

confidence: 99%

Detection of the separated endodontic instrument on periapical radiographs using a deep learning‐based convolutional neural network algorithm

Özbay,

Kazangirler,

Özcan

et al. 2023

Aust Endodontic J

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“…Dental medicine is so depended on photography now that a good dental treatment cannot be conceived by an X-Ray photograph. There are many studies emphasizing the role of photography in detecting and following up dental and oral cavity pathology (Sofyanti et al, 2020, Dave et al, 2020, Costa et al, 2020, Tobias & Spanier, 2020, Konishi et al, 2020.…”

Section: Application Of Photography In Sciencesmentioning

confidence: 99%

The Evolution of Photographic Arts Is Linked to Progress in Chemistry: A Review of Two Centuries of Symbiosis

Magurean¹,

Timis²,

Picoș³

et al. 2020

JRPH

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Photography is a major component of present art. It has applications in arts, in sciences and mainly health sciences, in social interaction. The evolution of photography since its advent 200 years ago relied and was dependent on the knowledge of chemistry. This is a review of the chemical techniques used in the recording and reproduction of photographs and of its applications. In the last two centuries, numerous chemical substances: inorganic, organic and polymeric, influenced the aspect and quality of the photographic techniques and of photographs. Teaching photography requires knowledge of chemistry, while chemistry education needs knowledge of esthetics as offered by photography.

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The impact of digital filters on the diagnosis of simulated root resorptions in digital radiographic systems

et al. 2022

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Do image enhancement filters in complementary metal oxide semiconductor and photostimulable phosphor imaging systems improve the detection of fractured endodontic instruments in periapical radiography?

Cited by 7 publications

References 22 publications

Detection of the separated endodontic instrument on periapical radiographs using a deep learning‐based convolutional neural network algorithm

Detection of the separated endodontic instrument on periapical radiographs using a deep learning‐based convolutional neural network algorithm

The Evolution of Photographic Arts Is Linked to Progress in Chemistry: A Review of Two Centuries of Symbiosis

The impact of digital filters on the diagnosis of simulated root resorptions in digital radiographic systems

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