GitHub / Skygers / Multiclass-U-Net-for-liver-tumor-segmentation

Liver Tumor Detection using Multiclass Semantic Segmentation with U-Net Model Architecture. CT-Scan images processed with Window Leveling and Window Blending Method, also CT-Scan Mask processed with One Hot Semantic Segmentation (OHESS)

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Topics: cv2, liver-segmentation, multiclass-segmentation, one-hot, one-hot-encoding, pyhton3, semantic-segmentation, tensorflow2, tumor-segmentation

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