Medical Image Analysis in Python_468 x 60 copy 2.png

medical.tar.gz

medical

In this course, you’ll learn the basics of medical image analysis using Python. You will learn to display and interpret X-ray and CT scans. This course uses relevant Python libraries and commands on medical images for format conversion, segmentation, and analyzing metadata. You can successfully complete this course with only a basic understanding of Python and no background in medical imaging.

Medical Image Analysis in Python

import seaborn as sns
from matplotlib import pyplot as plt 
basic_palette = sns.color_palette("pastel")
plt.style.use('seaborn-whitegrid')
pa = 61
ap =39
plt.pie([pa, ap], labels = ["PA", "AP"], colors=[basic_palette[-2],basic_palette[4]], autopct='%1.1f%%', startangle=70)
plt.title("Orientation", fontsize=16)
plt.savefig("output/graph.png")

## Image orientation explanation
* **Line 3** sets the color palette by using the `seaborn` library’s respective function.
* **Line 4** uses `style.use()` to specify the style of the image.
* **Lines 5 and 6** set the `PA` and `AP` values to specify the percentage.
* **Line 7** uses the `pie()` function to draw a pie chart.
* **Line 8** sets the title of the chart using `title()`.
* **Line 9** displays the chart using `savefig()`.

# Image orientation explanation
* **Line 3** sets the color palette by using the `seaborn` library’s respective function.
* **Line 4** uses `style.use()` to specify the style of the image.
* **Lines 5 and 6** set the `PA` and `AP` values to specify the percentage.
* **Line 7** uses the `pie()` function to draw a pie chart.
* **Line 8** sets the title of the chart using `title()`.
* **Line 9** displays the chart using `savefig()`.

Let's go over the solution for the "Orientation of the image" exercise.

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Orientation of the Image Solution Review

Image orientation solution

Image orientation explanation