Abstract:This paper describes the approach for the Parasitic Egg Detection and Classification in Microscopic Images challenge. Our solution relies on a robust deep learning pipeline implementing a five-fold training schema to pursue the challenge goal. The final methodology utilizes the TOOD model, further enhanced by slicing-aided fine-tuning and inference. The slicing helps to overcome the image size invariability of the dataset and allows the model to access all images in high resolution, and consequently helps it l… Show more
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