AI Models Achieve 99.8% Accuracy in Detecting Leukemia from Blood Cell Images

Mike Young - Feb 18 - - Dev Community

This is a Plain English Papers summary of a research paper called AI Models Achieve 99.8% Accuracy in Detecting Leukemia from Blood Cell Images. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • Research focuses on detecting Acute Lymphoblastic Leukemia (ALL) using deep learning
  • Compares performance of YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 models
  • Uses microscopic blood cell images to classify healthy vs leukemia cells
  • Achieves high accuracy rates across multiple models
  • Demonstrates potential for automated early cancer detection

Plain English Explanation

Cancer detection often relies on experts manually examining blood samples under microscopes. This research tests new computer systems that can automatically spot signs of [leukemia in blood samples](https://aimodels.fyi/papers/arxiv/acute-lymphoblastic-leukemia-diagnosis-employ...

Click here to read the full summary of this paper

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