Due to the large variability of biological tissue, machine learning techniques have shown superior performance over conventional image processing methods. Here, researchers present a deep neural network-based approach for segmentation and classification of glands in tissue of benign and malignant colorectal cancer.
Sarah E. Golding, Claire Horsfield, Annette Davies, Bernadette Egan, Martyn Jones, Mary Raleigh, Patricia Schofield, Allison Squires, Kath Start, Tom Quinn, Mark Cropley
Due to the large variability of biological tissue, machine learning techniques have shown superior performance over conventional image processing methods. Here, researchers present a deep neural network-based approach for segmentation and classification of glands in tissue of benign and malignant colorectal cancer.
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