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Visualizing - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.3

43.0K views
•
February 10, 2017
by
sentdex
YouTube video player
Visualizing - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.3

TL;DR

This video tutorial explores the data of the Tangled Data Science Bowl 2017 Challenge using Python and matplotlib.

Transcript

everybody and welcome to part three of our tangled data Science Bowl 2017 challenge first pass-through of the data in the previous tutorial we kind of started running through the data but we still haven't seen it we've seen some things that are scaring us as as data scientists but we still have not seen it so today we are going to be looking at the... Read More

Key Insights

  • 😒 The host uses matplotlib and Python to explore the data in the Tangled Data Science Bowl 2017 Challenge.
  • ❓ OpenCV is suggested for resizing 2-dimensional images in the dataset.
  • 🫁 Multiple slices of a lung scan are visualized using a for loop and matplotlib's subplot feature.

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Questions & Answers

Q: How does the host import and use matplotlib in Python for data visualization?

The host imports matplotlib as plt and uses plt.imshow() to display the lung scan pixel array. Further customization can be done using various arguments and functions provided by matplotlib.

Q: What library is suggested for resizing 2-dimensional images?

The host suggests using OpenCV for resizing 2-dimensional images. OpenCV provides a function called cv2.resize() to resize the image array.

Q: How does the host visualize multiple slices of the lung scan using matplotlib?

The host uses a for loop and matplotlib's subplot feature to create a grid of subplots. Each subplot represents a slice of the lung scan, and the image is resized using OpenCV before displaying it using matplotlib's imshow() function.

Q: How can the issue of different-sized slices in the lung scan be solved?

The host suggests solving the issue of different-sized slices in the next video. This implies that a solution will be provided in a subsequent tutorial.

Summary & Key Takeaways

  • The video tutorial is the third part of a series on the Tangled Data Science Bowl 2017 Challenge.

  • The host begins by importing matplotlib and presents a lung scan using pixel arrays.

  • The host discusses resizing issues and suggests using OpenCV for 2-dimensional image resizing.

  • The host demonstrates how to use a for loop and matplotlib to visualize multiple slices of the lung scan.


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