Blood Cancer Detection using Deep Learning | Machine learning | Best IEEE Machine Learning Project

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Title: Advanced Blood Cancer Detection using Deep Learning and CNN | 99.88% Accuracy | IEEE Based Deeplearning Project 2024
Description:
Welcome to our comprehensive video on "Advanced Blood Cancer Detection using Deep Learning and CNN"! In this video, we walk you through our innovative approach to detecting leukemia, significantly improving upon existing methodologies in the field.
In our research, we extended the existing two-class classification system to a more detailed four-class system. We have implemented extensive data augmentation techniques including rotation, translation, scaling, shearing, flipping, cropping, and padding to enhance the robustness of our model.
Furthermore, we have applied a variety of image processing filters and enhancements:
Noise Reduction:
Gaussian Filter
Median Filter
Bilateral Filter
Contrast Enhancement:
Histogram Equalization
Contrast Limited Adaptive Histogram Equalization (CLAHE)
Adaptive Histogram Equalization
Edge Detection:
Sobel Filter
Canny Edge Detector
Laplacian of Gaussian (LoG)
Image Smoothing and Sharpening:
Average Filter (Box Filter)
Unsharp Masking
High-pass Filter
Morphological Operations:
Erosion and Dilation
Opening and Closing
Normalization:
Intensity Normalization
Z-score Normalization
Other Filters:
Wiener Filter
Non-Local Means Filter
We utilized advanced transfer learning models such as ResNet50, MobileNet, and VGG16, achieving remarkable accuracy rates of 99.88%, 98%, and 97%, respectively. These results far surpass the 95% accuracy reported in the existing literature.
Additionally, we developed an intuitive frontend and backend using HTML, CSS, and Flask, making our system accessible and user-friendly.
For those interested in our code or further details, please contact us at [Your Contact Number] or visit our website at [Your Website URL].
Join us in this video to learn more about our groundbreaking work in leukemia detection using state-of-the-art deep learning techniques. Don't forget to like, share, and subscribe for more insightful content!
#LeukemiaDetection #DeepLearning #CNN #TransferLearning #ResNet50 #MobileNet #VGG16 #BloodCancerDetection #MedicalImaging #AIinHealthcare #DataAugmentation #ImageProcessing #MachineLearning
For the code and further inquiries, contact us at:
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🌐 Visit our website: smartaitechnol...

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We Provide Full working code,help implementation in to your systems.provide documentation that you can use it for report ,ppt and also you can write and publish IEEE papers.
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Where can I get the dataset sir?

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How much price do I need?

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