A lightweight CNN for colon cancer tissue classification and visualization
Comparative analysis with benchmark studies underscores the model's effectiveness, while discussions on underfitting and overfitting provide insights into potential fine-tuning strategies. This research presents a robust, lightweight solution for colon cancer histopathology image classification, offering a foundation for future advancements in colon cancer diagnostics with result visualization.
Authors
- Noor Zaman Jhanjhi (ORCID: https://orcid.org/0000-0001-8116-4733)
- Jie Li (ORCID: https://orcid.org/0000-0002-9769-8024)
- WeiWei Goh
Institutions
- Taylor's University (MY)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3389/fonc.2025.1659010
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 4.96