AKHIL CV 
JAREESH ISMAIL CK
SANGEERTHANA PARAYI

Red blood cells contain a molecule called haemoglobin, which transports
oxygen throughout the body. In a healthy person, haemoglobin is elastic,
round, and stable.However, if you have sickle cell disease, the composition of
haemoglobin is harmful.It refers to red blood cells that are compact and bent.
The strange cells obstruct blood flow.Because millions of red blood cells are in
one spell, manual assessment, diagnosis, and cell count are time conIn red
blood cells, a classification algorithm divides Sickle Cell Anemia (SCA) into
three classes: normal (N), Sickle Cells (S), and Thalassemia (T). This paper
also compares the precision degree of the MLP classifier algorithm to that of
other popular mining and machine learning algorithms on the Thalassemia and
Sickle Cell Society dataset (TSCS). suming processes that may result in
misclassification and counting.Sickle cells in the human body can be detected
with high precision using data mining techniques such as CNN.By
implementing a powerful and efficient CNN (Convolutional Neural Network),
the proposed approach overcomes the limitations of manual research.