A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.
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Updated
May 25, 2024 - Python
A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.
TCC1 UnB 2/2019 - SS - XAI techniques applied on convolutional neural network for skin lesion classification - First phase
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