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💡[Feature]: Pseudo Papilledema Detection using Deep Learning #324

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sreevidya-16 opened this issue Jul 24, 2024 · 2 comments · May be fixed by #354
Open
4 tasks done

💡[Feature]: Pseudo Papilledema Detection using Deep Learning #324

sreevidya-16 opened this issue Jul 24, 2024 · 2 comments · May be fixed by #354
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enhancement New feature or request gssoc Associated with GSSOC level2

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@sreevidya-16
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sreevidya-16 commented Jul 24, 2024

Is there an existing issue for this?

  • I have searched the existing issues

Feature Description

  • Deep learning techniques are leveraged in pseudo-papilledema detection by training convolutional neural networks (CNNs) on large datasets of retinal images to differentiate between true papilledema and pseudo-papilledema.
  • These models can automatically extract relevant features from the images, leading to high accuracy in identifying subtle differences that might be challenging for human observers.
  • This approach improves diagnostic accuracy, reduces the need for invasive procedures, and supports ophthalmologists in making timely and precise decisions.

@TAHIR0110, @Avdhesh-Varshney, could you please assign me this issue under GSSOC'24

Use Case

Supports ophthalmologists in making timely and precise decisions.

Benefits

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Priority

High

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  • I have read the Contributing Guidelines
  • I'm a GSSOC'24 contributor
  • I want to work on this issue
@sreevidya-16 sreevidya-16 added the enhancement New feature or request label Jul 24, 2024
@sreevidya-16 sreevidya-16 changed the title 💡[Feature]: Pseudo-Papilledema-Detection 💡[Feature]: Pseudo Papilledema Detection using Deep Learning Jul 24, 2024
@sreevidya-16
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@Avdhesh-Varshney, could you please assign me this issue

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@sreevidya-16
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@Avdhesh-Varshney, could you please assign me this issue

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Labels
enhancement New feature or request gssoc Associated with GSSOC level2
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