Image processing on grayscale medical image

Question:

I have been looking into PIL to perform image processing on grayscale medical images (on the breasts) so the microcalcification clusters can be seen more vividly. So far here are my current findings:

(1) Original
(2) With invert, auto contrast and posterise applied
(3) The yellow circled areas are the location of the clusters
So I am wondering, is there a better method of image processing for this kind of images to highlight the calcification clusters? Since I will need to use them for generating graphs to show their distributional patterns later on. Any suggestions would be much appreciated.

Asked By: Yu.L

||

Answers:

I’d have a look at scikit-image. It’s a great library for image processing of this kind. The first link is to the documentation, the second is to a specific page about adaptive histogram equalization that might be useful for you.

https://scikit-image.org/

http://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_equalize.html

Answered By: Sam

i have a question about medical image in my project .i have MRI and my task is classify the tumors.
should i convert these images into png jpeg format for use cv and pillow library? or it doesn’t need to convert them

Answered By: Najmeh Nazari
Categories: questions Tags: ,
Answers are sorted by their score. The answer accepted by the question owner as the best is marked with
at the top-right corner.