Recent Study of Lung Disease Detection Using Deep Learning Techniques

DOI

10.2991/978-94-6463-136-4_65How to use a DOI?

Keywords

Deep Learning; Lung Diseases; Medical Image

Abstract

Lung diseases are some of the most common medical conditions in the world. The early detection of this disease is extremely important, since lung diseases can spread from person to person. The field of Radiology plays a vital role in the detection of these diseases. Multimodal imaging techniques can be enhanced through the use of computer-aided detection technology, which is an effective means of improving the efficiency and quality of the doctor’s diagnostic process. The purpose of this paper is to provide a review of lung disease detection in a medical image. The objective of this paper is to predict the best classification algorithm for a disease that provides new solutions to the automated processing of medical images and gives a timely and effective diagnosis. In the future, we hope to identify the disease with patterns and severity from medical images to automated processing.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Urvashi B. Deshmukh
AU  - Apurva S. Solanke
AU  - Prapti D. Deshmukh
PY  - 2023
DA  - 2023/05/01
TI  - Recent Study of Lung Disease Detection Using Deep Learning Techniques
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 755
EP  - 760
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_65
DO  - 10.2991/978-94-6463-136-4_65
ID  - Deshmukh2023
ER  -