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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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MATLAB Code for Nose Detection

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Face Detection Systems are used for the identification of a person from digital images. The face detection system can extract the different facial features from a digital image. A set of facial features extracted from a digital image includes eyes, nose, mouth and face region. Face recognition is a difficult task due to the different facial expressions. With the help of a face detection system presence of a human face can be detected easily. For the detection of different facial features, the Viola-Jones algorithm is used in the proposed work. To make the task more manageable, Viola-Jones requires full view frontal upright faces. Watch Video:    Nose Detection Facial FEATURES: In any recognition system, the selection of feature extraction plays a vital role. There are a lot of feature extraction techniques proposed efficiency of the proposed system is not acceptable due to the lack of appropriate feature selection. MATLAB CODE: -
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Detect Facial Feature using MATLAB

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Face Detection Systems are used for the identification of a person from digital images. The face detection system can extract the different facial features from a digital image. A set of facial features extracted from a digital image includes eyes, nose, mouth and face region. Face recognition is a difficult task due to the different facial expressions. With the help of a face detection system presence of a human face can be detected easily. For the detection of different facial features, the Viola-Jones algorithm is used in the proposed work. To make the task more manageable, Viola-Jones requires full view frontal upright faces. Using this Matlab code you can: - Create your own face detection system - It is is easy and simple to understand. Book : Face and facial Expression Recognition MATLAB CODE FOR FACIAL FEATURE DETECTION How to Detect Facial Feature using Matlab The Algorithm used for face detection is the Viola-Jones algorithm. Different models are available...
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Coronavirus vs Human Respiratory system

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Coronavirus  Coronavirus disease 2019 (COVID-19) is a new disease. This virus is a major problem. Coronaviruses are named for the crown-like spikes on their surface. Coronavirus disease (COVID-19) is an infectious disease caused by a new virus. The disease causes respiratory illness (like the flu) with symptoms such as a cough, fever, and in more severe cases, difficulty breathing.  What is Coronavirus?                            Coronaviruses (CoV) are a large family of viruses. How does the Virus works?   viruses work by getting inside the cells your body is made of and then hijacking them. How Do Coronavirus works?        It first infects the cells lining your throat, airways, and lungs and turns them into coronavirus factories.  Different Types of Cells in the Human Body include. Stem cell, bone cell, blood cell, skin cell, muscle cell, sex cell, c...
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