Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network

01/19/2021

∙

Biomedical images are increasing drastically. Along the way, many machine learning algorithms have been proposed to predict and identify various kinds of diseases. One such disease is Pneumonia which is an infection caused by both bacteria and viruses through the inflammation of a person's lung air sacs. In this paper, an algorithm was proposed that receives x-ray images as input and verifies whether this patient is infected by Pneumonia as well as specific region of the lungs that the inflammation has occurred at. The algorithm is based on the transfer learning mechanism where pre-trained ResNet-50 (Convolutional Neural Network) was used followed by some custom layer for making the prediction. The model has achieved an accuracy of 90.6 percent which confirms that the model is effective and can be implemented for the detection of Pneumonia in patients. Furthermore, a class activation map is used for the detection of the infected region in the lungs. Also, PneuNet was developed so that users can access more easily and use the services.

READ FULL TEXT

Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network

Deep learning methods for automatic classification of medical images and disease detection based on chest X-Ray images

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray

A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification

Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN

COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN

Towards Earlier Detection of Oral Diseases On Smartphones Using Oral and Dental RGB Images

Using Deep Learning to Improve Early Diagnosis of Pneumonia in Underdeveloped Countries

Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network

Related Research

Deep learning methods for automatic classification of medical images and disease detection based on chest X-Ray images

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray

A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification

Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN

COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN

Towards Earlier Detection of Oral Diseases On Smartphones Using Oral and Dental RGB Images

Using Deep Learning to Improve Early Diagnosis of Pneumonia in Underdeveloped Countries