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Avascular Necrosis (AVN) || Early Detection, Better Outcomes || ~xRay Pixy

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Avascular Necrosis (AVN) is a condition where blood flow to the bone is reduced, causing bone cells to die. This leads to pain, joint damage, and difficulty in movement, especially in the hip. Early diagnosis and proper treatment can prevent permanent bone damage and improve quality of life. Video Chapter: AVN 00:00 Introduction 00:45 What is AVN? 01:55 About Bone Tissue 02:49 AVN Causes 03:38 AVN Symptoms 04:11 AVN Diagnosis 04:56 AVN of femoral head 05:33 How AVN Develops 07:28 Conclusions #optimization #algorithm #metaheuristic #robotics #deeplearning #ArtificialIntelligence #MachineLearning #computervision #research #projects #thesis #Python #optimizationproblem #optimizationalgorithms 

How Digital Image is formed? ~xRay Pixy


Digital Image is Made up of Pixels. Pixel is the Smallest Element of an Image. A digital image is composed of a finite number of elements, each element has a particular location and value.
The digital image is a 2-dimensional function. It is represented by f(x,y). Where x,y is the plane coordinates, and f is the amplitude that is the brightness of the image. The sensor is used to sense the object structure and a continuous voltage signal is generated.
In order to create a digital image, we need to convert data into digital form. For this Sampling and Quantization is done.
Sampling is digitizing the coordinate value.
Quantization is analog to digital conversion of a sampled image to a finite number of gray level.
The process of digital image formation is shown in this video.
https://youtu.be/pNl-yhlp5bo

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