| Issue |
ITM Web Conf.
Volume 44, 2022
International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
|
|
|---|---|---|
| Article Number | 03050 | |
| Number of page(s) | 5 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20224403050 | |
| Published online | 05 May 2022 | |
Disease Detection Using Artificial Intelligence
1 Electronic and Telecommunication Engg,Ramrao Adik Institute of Technology, Navi Mumbai, India
2 Electronic and Telecommunication Engg,Ramrao Adik Institute of Technology, Navi Mumbai, India
3 Electronic and Telecommunication Engg,Ramrao Adik Institute of Technology, Navi Mumbai, India
4 Electronic and Telecommunication Engg,Ramrao Adik Institute of Technology, Navi Mumbai, India
Currently, artificial intelligence is widely used to aid humans in a variety of ways. One area where artificial intelligence is particularly beneficial is medical image detection where diagnostic procedures require the collection and processing of large amounts of data for particular diseases. The topics covered in this paper include Pneumonia, Lung Cancer, and Brain Tumors. Early detection and treatment are crucial when treating these types of diseases. The paper describes the use of a convolutional neural network algorithm in order to process medical images so that it can aid in decision making process and help save time. Machine learning is useful in increasing consistency and accuracy in detection. The highest accuracy that the model has achieve 94.297%.
Key words: pneumonia detection / lung cancer / brain tumor / machine learning / image processing / artificial intelligence / convolutional neural network
© The Authors, published by EDP Sciences, 2022
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