International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Deep Learning Approaches for Cancer Detection |
|---|---|
| ABSTRACT | Cancer is one of the major causes of death in the world. It plays a significant role in the survival rate of patients. So far, various detection techniques have been used to identify cancer in patients. However, traditional detection techniques are based on manual interpretation of results, which are often time-consuming and lead to inaccurate results. In recent times, deep learning has been identified as a significant technique in cancer detection. This paper seeks to give a detailed review of deep learning in cancer detection based on various studies published between 2020 and 2025. Deep learning techniques have been identified as significant in cancer detection. Convolutional neural networks are among the deep learning techniques that have been used in cancer detection in recent times. They have been used to identify various types of cancer in patients using various medical images such as MRI scans, mammograms, and computer tomography scans. Deep learning techniques have been identified as accurate in detecting various types of cancer in patients. Recent advancements in deep learning have been identified as significant in cancer detection. |
| AUTHOR | M. KRISHNA KUMAR, N. MUNISELVAM, S.G. ABARNA, S.VARSHA, C.BALASUNDAR Assistant Professor, Department of Mathematics, AAA College of Engineering and Technology, Sivakasi, Tamil Nadu, India Assistant Professor, Department of Information Technology, AAA College of Engineering and Technology, Sivakasi, Tamil Nadu, India UG Student, Department of Artificial Intelligence and Data Science, AAA College of Engineering and Technology, Sivakasi, Tamil Nadu, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403089 |
| pdf/89_Deep Learning Approaches for Cancer.pdf | |
| KEYWORDS | |
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