Image Classification of Stroke Blood Clot Origin

Objective: To analyze pathology images of blood clots and classify the etiology to either CE (i.e., originating from the heart) or LAA (i.e., originating from the plaque in the inner lining of an artery).

Used DenseNet and ResNet network with transfer learning to classify blood clot images to detect their origin. Achieved an accuracy of 72.4% and 73.75% with an F1 score of 0.701 and 0.765 respectively

For more info about this project including datasets & preprocessing Click Here!