Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Esophagus Cancer Detection using Images With YoloV8

Authors
Bhasha Pydala1, *, Vuribindi Tejaswini2, S. Bindu Priya2, Yelluri Nithin Reddy2, Kamisetty Siva Sundar Das2, V. Jyothsna3
1Assistant Professor, Dept. of Data Science, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College) A.Rangampet, Tirupati, India
2Dept. of Information Technology, Sree Vidyanikethan Engineering College, A.Rangampet, Tirupati, India
3Associate Professor, Dept. of Data Science, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College) A.Rangampet, Tirupati, India
*Corresponding author. Email: bhasha.chanti@gmail.com
Corresponding Author
Bhasha Pydala
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_33How to use a DOI?
Keywords
— Early diagnosis; YOLOv8; deep learning; medical image analysis; and esophageal cancer
Abstract

YOLOv8, a cutting-edge object recognition technique, is used in this study to show a new way to find esophageal cancer early. By using medical pictures and deep learning methods, our model is very good at finding cancerous areas in the stomach. The suggested method shows a possible breakthrough in accurate and fast detection, providing a useful tool for bettering the results of esophageal cancer patients.

Copyright
© 2024 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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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
978-94-6463-471-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_33How to use a DOI?
Copyright
© 2024 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.

Cite this article

risenwbib
TY  - CONF
AU  - Bhasha Pydala
AU  - Vuribindi Tejaswini
AU  - S. Bindu Priya
AU  - Yelluri Nithin Reddy
AU  - Kamisetty Siva Sundar Das
AU  - V. Jyothsna
PY  - 2024
DA  - 2024/07/30
TI  - Esophagus Cancer Detection using Images With YoloV8
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 334
EP  - 342
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_33
DO  - 10.2991/978-94-6463-471-6_33
ID  - Pydala2024
ER  -