10.7795/320.202106
Schott, Constantin Tilman
Constantin Tilman
Schott
Paul-Gerhardt-Schule Dassel, Dassel
To get to the point
Neural Network application to key-point detection in radiographs
Physikalisch-Technische Bundesanstalt (PTB)
2021
en
Physikalisch-Technische Bundesanstalt (PTB)
0000 0001 2186 1887
Physikalisch-Technische Bundesanstalt (PTB)
0000 0001 2186 1887
2021-09-13
2019-12-06
2019-10-06
4383661 bytes
16 pages
application/pdf
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Article
Junge Wissenschaft. Paper 06/2021
Physicians have to locate so called key-points e.g. for surgical procedures. Up to now, this was always done manually. In order to automate this process, innovative software was developed that uses artificial intelligence (AI)combining a clipping-window approach with the newly developed prediction shifting. The program can predict the key-points with a high degree of accuracy—making the AI as precise as a physician.
In der Jungen Wissenschaft werden Forschungsarbeiten von Schüler/innen, die selbstständig, z.B. in einer Schule oder einem Schülerforschungszentrum, durchgeführt wurden, veröffentlicht.
artificial intelligence
neural network
deep learning
key-point detection
convolutional neural network
cephalometry
machine learning
x-ray image
radiograph
automated analysis