Answers.Body: <p>Histopathological images compared to natural images difference so, that in <a href="https://en.wikipedia.org/wiki/Histopathology" rel="nofollow noreferrer">histopathological</a>  images the image needed to be modeled may contain millions of pixels, whereas a recognition from natural image that this is a dog / house / certain person needs significantly less information to be extracted from the picture.</p>
  
  <p>Histopathological images use WSIs (Whole slide image) which contain the part of tissue as a whole. It needs to be split to 256 x 256 pixel patches and those are used for ROI hunting (Region of Interest) and other analysis one by one.</p>
  
  <p>Histopathological images (WSI) are quite rare nowadays and hold privately. More open data would rise the accuracy of machine learning and increase the amount of results that could be found from the data.</p>
  
  <p>Complete source:</p>
  
  <p><a href="https://arxiv.org/pdf/1709.00786v1.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1709.00786v1.pdf</a></p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2018-01-11T19:08:19.753Z
Answers.LastActivityDate: 2018-01-11T19:08:19.753Z
Answers.UserDisplayName: mico
Body: <p>What is the difference between a histopathological image and a natural image when training a neural network? </p>
  
Tags: <neural-networks><machine-learning><deep-learning>
Title: Histopathological image vs. natural image
UserDisplayName: Sourav Dalai
ThreadText: # Histopathological image vs. natural image
  
  (Asked by: username_0 on 2018-01-10)
  
  What is the difference between a histopathological image and a natural image when training a neural network?
  
  **Tags:** neural-networks, machine-learning, deep-learning
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2018-01-11. Score: 1 | Accepted answer
  
  Histopathological images compared to natural images difference so, that in [histopathological](https://en.wikipedia.org/wiki/Histopathology) images the image needed to be modeled may contain millions of pixels, whereas a recognition from natural image that this is a dog / house / certain person needs significantly less information to be extracted from the picture.
  
  Histopathological images use WSIs (Whole slide image) which contain the part of tissue as a whole. It needs to be split to 256 x 256 pixel patches and those are used for ROI hunting (Region of Interest) and other analysis one by one.
  
  Histopathological images (WSI) are quite rare nowadays and hold privately. More open data would rise the accuracy of machine learning and increase the amount of results that could be found from the data.
  
  Complete source:
  
  <https://arxiv.org/pdf/1709.00786v1.pdf>
  
  
  ---
  
  