Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Brain Tumor Detection Using Deep Learning Algorithm

Brain Tumor Detection Using Deep Learning Algorithm

Das, Shiplu
Pandey, Adhara
Chatterjee, Soumili

Paperback

Medical Reference

ISBN10: 6208444764
ISBN13: 9786208444761
Publisher: LAP Lambert Academic Publishing
Published: May 19 2025
Pages: 72
Weight: 0.24
Height: 0.17 Width: 6.00 Depth: 9.00
Language: English
Brain tumor detection is a critical task in medical diagnosis, where early and accurate identification can significantly improve patient outcomes. Deep learning, a subset of artificial intelligence, has emerged as a powerful tool in automating this process. By leveraging convolutional neural networks (CNNs) and other advanced architectures, deep learning models can analyze MRI scans to detect and classify brain tumors with high accuracy. These models learn complex patterns and features from vast datasets, reducing the need for manual intervention and minimizing human error. The integration of deep learning in medical imaging enhances diagnostic speed, consistency, and precision, offering promising support for radiologists and healthcare professionals.

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