Histogram equalization based methods to enhance the contrast and improve the visual appearance of the video sequence.
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Updated
May 11, 2022 - Python
Histogram equalization based methods to enhance the contrast and improve the visual appearance of the video sequence.
Using CNNs to classify an image into normal or glaucomatous, using retinal fundus images by transfer learning.
MSc Thesis at FER-2021/22 led by izv. prof. dr. sc. Marko Čupić
A shallow CNN model that is trained on X-ray chest images with preprocessing step of adaptive histogram equalization.
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