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A Heteromorphous Deep CNN Framework for Medical Image Segmentation Using Local Binary Pattern
2022
IEEE Access
Estimating mitotic nuclei in breast cancer samples can aid in determining the tumor's aggressiveness and grading system. Because of their strong resemblance to non-mitotic nuclei and heteromorphic form, automated evaluation of mitotic nuclei is difficult. This study presents the BreastUNet, a new heteromorphous Deep Convolutional Neural Network (CNN) with feature grafting approach for analysing mitotic nuclei in breast histopathology images. In the first stage, the proposed method identifies
doi:10.1109/access.2022.3183331
fatcat:l7xufpvrwbhvjajkfma4dujswq