menu
{ "item_title" : "Brain Tumor Detection Using Deep Learning Algorithm", "item_author" : [" Shiplu Das", "Adhara Pandey", "Soumili Chatterjee "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/6/20/844/476/6208444764_b.jpg", "price_data" : { "retail_price" : "51.00", "online_price" : "51.00", "our_price" : "51.00", "club_price" : "51.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Brain Tumor Detection Using Deep Learning Algorithm|Shiplu Das

Brain Tumor Detection Using Deep Learning Algorithm

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9786208444761
  • ISBN-10: 6208444764
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: May 2025
  • Dimensions: 9 x 6 x 0.17 inches
  • Shipping Weight: 0.24 pounds
  • Page Count: 72

Related Categories

You May Also Like...

    1

BAM Customer Reviews