The Smart Detection of Ovarian Cancer in Complex Medical Images Using Deep Learning
- Title
- The Smart Detection of Ovarian Cancer in Complex Medical Images Using Deep Learning
- Creator
- Kumar, Ashish; Sandhiya, B.; Suganya Devi, K.; Garg, Amit; Gupta, Rishi
- Description
- Ovarian cancer is a challenging disease to detect and diagnose, especially in complex medical images where the cancerous lesions may be small and difficult to differentiate from surrounding healthy tissue. The use of deep learning algorithms has shown promising results in computer-aided diagnosis of various cancers. This study aims to develop a smart detection system for ovarian cancer in complex medical images using deep learning techniques. The proposed system will have the ability to accurately and efficiently identify cancerous lesions, leading to earlier detection and improved treatment outcomes. Through the use of advanced computer vision and machine learning methods, the system will be able to learn from a large dataset of medical images and make accurate predictions. This research has the potential to significantly improve the diagnosis and treatment of ovarian cancer, ultimately saving lives. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
- Source
- Lecture Notes in Networks and Systems;Volume;1341 LNNS;pp.101-115
- Date
- 01-01-2026
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Artificial intelligence; Complex; Deep learning; Medical images; Ovarian cancer; Smart detection
- Coverage
- Kumar A., School of Computer Science and Engineering, Galgotias University, Greater Noida, India; Sandhiya B., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Suganya Devi K., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, India; Garg A., Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, Jaipur, India; Gupta R., Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, Jaipur, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 23673370; ISBN: 978-981965125-2;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kumar, Ashish; Sandhiya, B.; Suganya Devi, K.; Garg, Amit; Gupta, Rishi, “The Smart Detection of Ovarian Cancer in Complex Medical Images Using Deep Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25559.