A Comprehending Deep Learning Approach for Disease Classification
Lecture Notes in Networks and Systems
; 528:113-122, 2023.
Article
in English
| Scopus | ID: covidwho-2243643
ABSTRACT
For medical image processing analysis, deep learning is one of the most popular research subjects. It is subset of machine learning comprising of one or more neural network layers to simulate human behavior of learning and predicting. The purpose of this work is to investigate the application of deep learning models in image processing for disease analysis and medical innovations. The work showcased a generic deep learning model based on convolutional neural networks to classify diseases upon image analysis. To demonstrate the extensive medical use case of proposed model, the results demonstrated classifying pneumonia x-ray images alongside normal chest x-ray images, wrist r-ray pictures able to distinguish between normal and fractured wrists, etc. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Lecture Notes in Networks and Systems
Year:
2023
Document Type:
Article
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