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Document details - PREDICTION OF PNEUMONIA USING DEEP FEATURE EXTRACTION AND CONVOLUTIONAL MACHINE LEARNING TECHNIQUES ON CHEST X-RAY DATASET.

Journal Volume 11, Issue 11, November 2022, Article 17753489 A.RAMYA, Dr. R.SUNDAR RAJAN , " PREDICTION OF PNEUMONIA USING DEEP FEATURE EXTRACTION AND CONVOLUTIONAL MACHINE LEARNING TECHNIQUES ON CHEST X-RAY DATASET." , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 11, Issue 11, November 2022 , pp. 066-072 , ISSN 2319 - 4847.

PREDICTION OF PNEUMONIA USING DEEP FEATURE EXTRACTION AND CONVOLUTIONAL MACHINE LEARNING TECHNIQUES ON CHEST X-RAY DATASET.

    A.RAMYA, Dr. R.SUNDAR RAJAN

Abstract

ABSTRACT Pneumonia is a disease which affects the lungs of the human beings. Globally, Pneumonia accounts for nearly sixteen percentage of mortality of children who are below five years. World Health Organisation mentions that four million pre-mature deaths happen per year due to the illness associated with standard air contamination, which encompasses the direction of the study towards pneumonia detection. It is very important to predict these diseases in the early stage for successful treatment and to increase the life span. Usually, this disease can be diagnosed from chest X-ray images by an expert radiologist. But there arise a problem of unclear chest X-ray images in diagnosing the disease clearly. Therefore, computer-aided prediction systems are needed to guide them. In this study, we used Deep convolutional neural network and Vgg16 for diagnosing purpose. We also used Auto Encoder Neural Network and Random Forest classifier for detecting the disease accurately.

  • ISSN: 23194847
  • Source Type: Journal
  • Original language: English

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