Image Classification and ML in Disease Recognition: A Research Review

Key Points

• To explore the role of image classification and machine learning in recognizing diseases and improving diagnostic accuracy.
• Review of existing literature
• Analysis of algorithms used in image classification
• Examination of machine learning techniques applicable to disease recognition
• Identification of key algorithms in image classification
• Demonstration of improved diagnostic accuracy through machine learning techniques
• Highlighting the potential for faster disease recognition using these technologies