Summary of Cancer Cell Classification Using Deep Learning, by Praneeth Kumar T et al.
Cancer Cell Classification using Deep Learning
by Praneeth Kumar T, Nidhi Srivastava, Rakshith Mahishi, Chayadevi M L
First submitted to arxiv on: 21 Oct 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers aim to develop an automated system for diagnosing cancer by leveraging machine learning, deep learning, and data mining techniques. The medical profession is a significant area of focus, particularly in addressing the challenges of early detection, which can significantly impact patient outcomes. Cancer symptoms include tumors, unusual bleeding, and weight loss, but not all tumors are malignant. The study utilizes various deep-learning algorithms to classify bacteria cells as benign or cancerous, training and improving models for optimal results. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In a nutshell, this research uses computer science techniques like machine learning and data mining to help doctors identify cancer earlier and more accurately. By analyzing huge amounts of health-related data from the internet, scientists can spot patterns that indicate the presence of cancer. This technology has the potential to save lives by giving patients the right treatment at the right time. |
Keywords
* Artificial intelligence * Deep learning * Machine learning
