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AN AUTOMATED SUPERVISED MACHINE LEARNING MODELS FOR (ALL) CANCER CLASSIFICATION
In This Paper, We Have Present A Machine Learning Based Approach For The Classification Of Blood Leukaemiausing Microscopic Images Employing A Probabilistic Neural Network. Probabilistic Neural Network Is Based On Bayes’s Theorem Of Condit...
A SURVEY ON MACHINE LEARNING MODELS FOR (ALL) CANCER CLASSIFICATION
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 Th...
A COMPREHENSIVE SURVEY ON MACHINE LEARNING BASED AUTOMATED DETECTION OF BLOOD CANCER
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 Th...
AUTOMATIC DETECTION OF BONE MARROW CANCER FROM MICROSCOPIC IMAGES USING CNN
Human Blood Consists Of Three Types Of Major Cells: Red Blood Cell (RBC), White Blood Cell (WBC) And Platelets. Each Of Them Has Their Own Functions In Our Body. RBC Helps In Supplying Oxygen, WBC Fights Against Infection And Platelet Helps...
dETECTION OF LEUKEMIA AND DENGUE USING IMAGE PROCESSING: A study
There Are Many Diseases Related To Blood Which Can Affect One Or More Parts Of The Human Body, They Can Be Acute Or Chronic. The Process For Detecting Diseases Is Time Consuming Because In Laboratory It Takes Longer And If The Process Takes...