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Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.
A simple, robust, multi-state Java implementation of the Naive Bayes classification algorithm.
DDxT: Deep Generative Transformer Models for Differential Diagnosis