A machine learning project for sperm morphology classification using PyTorch. It implements a ResNet-18 model trained on the Hi-Lab SpermMorpho dataset to classify 18 morphological classes. Includes preprocessing, training, evaluation, and visualization (confusion matrix, classification report).
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A machine learning project for sperm morphology classification using PyTorch. It implements a ResNet-18 model trained on the Hi-Lab SpermMorpho dataset to classify 18 morphological classes. Includes preprocessing, training, evaluation, and visualization (confusion matrix, classification report).
sobhanomidhaghi/SpermMorphoClassifier
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A machine learning project for sperm morphology classification using PyTorch. It implements a ResNet-18 model trained on the Hi-Lab SpermMorpho dataset to classify 18 morphological classes. Includes preprocessing, training, evaluation, and visualization (confusion matrix, classification report).
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