Browsing by Author "Umme Honey Walid Nasha"

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    PanNuke: Semi Automatically Generated Tissue Nuclei Instance Classification and Segmentation using Deep Learning Algorithms
    (North South University, 2021-08-30) Faria Rahman Brishty; Umme Honey Walid Nasha; Dr. Mahdy Rahman Chowdhury; 1721419042; 1512674642
    Classification and Segmentation of nuclei instances is one of the challenging task. In the discipline of vision, deep learning has evolved as a branch of the machine learning field. It's a data-processing technique that employs many layers of complicated structures or numerous processing layers made up of various nonlinear transformations. In the branch of medical image data analysis deep learning algorithms are creating benchmarks. Early detection of diseases is important for early treatment. Deep learning has achieved significant advances in computer vision. In this paper, we work on the large PanNuke dataset classification and segmentation. We have obtained outstanding accuracies using deep learning alogrithms.