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Automatic Detection of Acute Lymphoblastic Leukemia Using UNET Based Segmentation and Statistical Analysis of Fused Deep Features by jaict.omgfzc is a document available to read on EtoBox.

What is Automatic Detection of Acute Lymphoblastic Leukemia Using UNET Based Segmentation and Statistical Analysis of Fused Deep Features about?

The document discusses a research article on the automatic detection of Acute Lymphoblastic Leukemia (ALL) using UNET-based segmentation and statistical analysis of deep features. It highlights the methodology involving the extraction of deep features from CNN models like AlexNet, GoogleNet, and SqueezeNet, followed by feature selection and statistical analysis to improve detection accuracy. The study emphasizes the importance of early detection of ALL and presents a system that aids clinicians in identifyi

Author

jaict.omgfzc

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EN