High Impact Factor : 7.883
Submit your paper here

Impact Factor

7.883


Call For Paper

Volume 10 Issue 12 December 2024


Download Paper Format


Copyright Form


Share on

A COMPREHENSIVE SURVEY ON MACHINE LEARNING BASED AUTOMATED DETECTION OF BLOOD CANCER

  • Author(s):

    Anuja Pawar | Prof. Priyanka Prajapati

  • Keywords:

    Blood Leukemia, Microscopic Images, Machine Learning, Automated Classification, Classification Accuracy.

  • Abstract:

    Blood Leukemia Is One Of The Most Deadly Diseases In The World With One Of The Most Deadly Mortality Rates. The Detection Of Blood Leukemia At Early Stages Is Extremely Difficult Owing To The Fact That Leukemia’s Symptoms Do Not Manifest Themselves Comple

Other Details

  • Paper id:

    IJSARTV8I1056836

  • Published in:

    Volume: 8 Issue: 10 October 2022

  • Publication Date:

    2022-10-02


Download Article