Cancer Detection Based on Medical Image Analysis with the Help of Machine Learning and Deep Learning Techniques: A...

Area of Science:

• Oncology
• Medical Imaging
• Artificial Intelligence

Background:

• Cancer diagnosis relies heavily on early detection through medical imaging.
• Increasing cancer rates necessitate advanced analytical tools for medical professionals.
• Artificial Intelligence (AI) offers promising solutions for medical image analysis in oncology.

Approach:

• Systematic review of machine learning (ML) and deep learning (DL) techniques for cancer detection.
• Analysis of various medical imaging modalities and associated datasets.
• Exploration of image preprocessing techniques to enhance classification accuracy.

Key Points:

• Evaluated 270 studies from diverse publications and conferences.
• Compared ML and DL tools based on performance and limitations.
• Detailed discussion on imaging techniques, datasets, and preprocessing methods.

Conclusions:

• AI, ML, and DL show significant potential in cancer detection via medical image analysis.
• Further research and development are recommended to optimize these technologies.
• Standardization of datasets and preprocessing is crucial for reliable AI-driven diagnostics.