CNN Medical Imaging for Colon Cancer: 25-Year Publication Survey

This survey dataset tracks research publications concerning Convolutional Neural Networks (CNN) in medical imaging for colon cancer across three major academic publishers. Compiled by Jie Li and hosted on Harvard Dataverse, the collection spans a 25-year period from 2000 to 2025. It aggregates literature metadata and survey findings from IEEE, Science Direct, and Springer Nature.

Use Cases

• Bibliometric analysis of CNN adoption trends in oncology using publication dates
• Comparative analysis of research volume across IEEE, Science Direct, and Springer Nature platforms
• Mapping the historical development of medical imaging techniques for colon cancer detection

Strengths

• Covers a 25-year longitudinal period from 2000 to 2025
• Aggregates data from three major scientific publishers: IEEE, Science Direct, and Springer Nature
• Targeted focus on the intersection of CNNs, medical imaging, and colon cancer

Limitations

• Unknown record count and column structure
• Geographic and institutional bias may exist as it only samples three specific publishing platforms
• Lack of detailed methodology regarding how the survey was conducted or papers were filtered

Provenance

Source

IEEE, Science Direct, and Springer Nature

Collection Method

surveyed

Time Range

2000-2025

Freshness

The dataset is highly current, with coverage extending through 2025 and a last update in early 2026.