Information entropy measures and clustering improve edge detection in medical X-ray images

Hržić, Franko; Jansky, V.; Sušanj, Diego; Gulan, Gordan; Kožar, Ivica; Jericevic, D. Z.

doi:10.23919/mipro.2018.8400032

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Comparison Of Image Enhancement Methods For Lumbar1

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2021

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“…The Adaptive Generation of Structured Medical Reports Using NER Regarding Deep Learning was investigated by Wu [26]. Information entropy measurements and clustering improve edge detection in medical X-ray images studied by Hrzic [27]. Contrast Enhancement of Medical Radiographic Images Using Edge Preserving Filters was investigated by Kumari and Kanhirodan [28].…”

Section: Comparison Of Image Enhancement Methods For Lumbarmentioning

confidence: 99%

The Design of X-Ray Film Reader with Film Presence Detector

Tunggal

Arrosyid

Silva

et al. 2021

jrc

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X-Ray viewer is a tool for observing the results of X-Ray films using ray lighting. It aims to get clearer readings of X-Ray films by radiographers and doctors. X-Ray viewers in hospitals generally cannot be carried anywhere because they use fluorescent lamps as a source of radiation and use 220 Volt AC voltage directly. So that its use is less effective and efficient because it must be connected directly to a 220 Volt AC power source and requires large power. In this regard the author wants to design an X-Ray viewer tool that can be used to read the results of X-Ray films clearly and is portable so that the device can be used anywhere because it uses a battery as a voltage source and is equipped with a presence detection sensor film in order to save energy so that the use of tools is more effective and efficient.

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Section: Comparison Of Image Enhancement Methods For Lumbarmentioning

confidence: 99%