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AI and Deep Learning for Ear Infection Detection ~xRay Pixy

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Learn how AI and deep learning revolutionize ear infection detection, enabling accurate, fast, and automated diagnosis using advanced image processing and machine learning techniques. Video Chapters: Ear Infection Detection using AI and DL 00:00 Introduction 00:14 My Experience with Ear Infections 01:15 Topics Covered 02:24 Ear Infections 02:48 Ear Infection Signs 03:55 Ear Infection Preventions 04:29 Ear Infection Types 05:19 Ear Infection Causes 06:14 How Bacteria and Fungus Grow in Ear 07:26 My Mistakes 08:49 Doctors Advise after Ear Infection 09:45 Ear Infection Common Symptoms 10:37 Automated Ear Infection Detection with Deep Learning AI 15:09 Smartphone Otoscopes 16:04 Conclusion Ear fungus, also known as otomycosis , is a fungal infection of the outer ear canal. If an ear infection is not treated on time, it can lead to serious complications.  Hearing Loss – Persistent infections can damage the eardrum and middle ear structures, leading to partial or permanent hearing loss....
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Nicholl - Lee Nicholl (NLN) Line Clipping in Computer Graphics

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 In the Cohen-Sutherland method, multiple intersections may be calculated along the path of a single line before an intersection on the clipping rectangle or line is completely rejected. 

In Nicholl - Lee Nicholl Line Clipping, Extra intersection calculations are eliminated. 

ADVANTAGE OF Nicholl - Lee Nicholl (NLN) Line Clipping

1.) The number of clipping points is reduced to one, compared to other algorithms that may require two or more clipping. 

2.) Nicholl - Lee Nicholl (NLN) Line Clipping is FAST. Clipping algorithms for Circle, Curved boundary clipping regions are SLOWER because intersections calculations involve nonlinear curve equations. 

3.)  Nicholl - Lee Nicholl (NLN) Line Clipping avoids multiple clipping of Line segments. 

4.) As Compare to Cohen Sutherland and Liang-Barsy Nicholl - Lee Nicholl Line Clipping performed fewer comparisons.  

How Nicholl - Lee Nicholl Line Clipping works? 

Nicholl - Lee Nicholl Line Clipping, uses symmetry to categorize endpoints into one of the three regions. straight line segments are drawn from the line end point, passing through the corners of the clipping window. 

What are the three regions used by Nicholl - Lee Nicholl Line Clipping for endpoints?

   1.) The point inside the Clip Window


   2.) A point in an Edge region.


   3.) A point in the Corner region.

NOTE: If Point lies in any one of the other 6 regions, we can use symmetry transformation to move it.

CASE 1. If the point (P1) is Inside the Clip Window and Point (P2) is outside. 

Then the intersection with the appropriate window boundary is carried out depending on which one of the four regions L(Left), R(Right), T(Top), and B(Bottom) contains P2.

For Example: Check this diagram given below - 

CASE 2. If P1 is in the region to the left of the window.

In this case, 4 regions used to determine a unique boundary for the line segment: L, LT, LR, and LB.

If Point P2 is in the region L, Clip the line at the left boundary and save the line segment from the intersection point to p2.  

If Point P2 is in the region LT, save the line segment from the left window boundary to Top boundary.

NOTE: If the point is not in any of the 4 regions, The Entire Line is Clipped. 





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