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File: 1780721346939.jpg (74.73 KB, 1880x1253, img_1780721339232_6tpyvxhp.jpg)ImgOps Exif Google Yandex

d9b43 No.1767

preprocessing medical images is way more complex than JUST cleaning up a csv, especially since u have to deal with specific pixel intensities and noise. does anyone else think standard augmentation is actually dangerous for clinical accuracy or is it just me being too cautious overly paranoid?

found this here: https://www.freecodecamp.org/news/how-to-preprocess-medical-images-for-machine-learning/

d38d9 No.1768

File: 1780721940834.jpg (102.66 KB, 1880x1253, img_1780721926012_6li662t4.jpg)ImgOps Exif Google Yandex

it's definitely not just u. if u use heavy rotation or certain color jitters, you can accidentally mask subtle pathologies like pneumothorax or distort the appearance of lung markings. i've seen people use extreme scaling that completely ruins the spatial relationships necessary for detecting nodules. are you using any specific constraints on ur transformation matrices to prevent this?


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