AML detection from bone marrow microscopic images using CNN

This project presents an advanced approach to detect Acute Myeloid Leukemia (AML) using Convolutional Neural Networks (CNNs) applied to bone marrow microscopic images. By training a deep learning model on image data, the system can accurately classify leukemic cells and assist in early diagnosis.

🔍 Key Features:

Input: High-resolution bone marrow smear images

Deep learning model: CNN architecture for feature extraction and classification

High accuracy in detecting AML versus healthy samples

Reduces manual diagnostic errors and saves clinical time

Can be extended to other types of leukemia with dataset adjustments

💡 Applications:

Automated leukemia diagnosis

Clinical decision support systems

Medical imaging and pathology

Early cancer detection with AI

This AI-powered diagnostic tool enhances medical capabilities by offering fast, reliable, and accurate detection of AML, supporting early treatment and better patient outcomes.

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#AMLDetection #BoneMarrowAnalysis #DeepLearning #MedicalImaging #LeukemiaDetection #CNN #AIinHealthcare #CancerDiagnosis #PathologyAI #MicroscopicImageAnalysis

Видео AML detection from bone marrow microscopic images using CNN канала Takeoff Edu Group