Efficient Framework for Diagnosis of Acute Lymphoblastic Leukemia Using Random Forest Classifier
Author:
Affiliation:
1. MVJ College of Engineering,Department of ECE,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10592106/10592107/10592695.pdf?arnumber=10592695
Reference18 articles.
1. A survey on image segmentation of blood and bone marrow smear images with emphasis to automated detection of Leukemia
2. Segmentation and Classification of Acute Lymphoblastic Leukemia Cells Tooled with Digital Image Processing and ML Techniques
3. Acute Lymphoblastic Leukemia Cell Detection in Microscopic Digital Images Based on Shape and Texture Features
4. Supervised Method for Acute Lymphoblastic Leukemia Segmentation and Classification Using Image Processing
5. A Review on Acute Lymphoblastic Leukemia Classification Based on Hybrid Low Level Features
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