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.
Thiripura Vino, Gurmeet R. Singh, Belinda Davison, Patricia T. Campbell, Michael J. Lydeamore, Andrew Robinson, Jodie McVernon, Steven Y.C. Tong, Nicholas Geard
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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