AI Models Accurately Detect Leukemia From Blood Cell Images
AI models achieve 99.8% accuracy detecting Leukemia from blood cell images using YOLOv11, YOLOv8, ResNet50 & Inception-ResNet-v2 models.
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 det...