ConDANet: Contourlet Driven Attention Network for Automatic Nuclei Segmentation in Histopathology Images

ConDANet: Contourlet Driven Attention Network for Automatic Nuclei Segmentation in Histopathology Images

Cell nuclei segmentation, the task of identifying the precise boundary of the nucleus in each cell in a histopathology image, is a rudimentary task prior to single-cell analysis. While addressing this task, two of the major challenges are the precise delineation of the small-shaped nucleus structure...

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Bibliographic Details
Main Authors: Tamjid Imtiaz, Shaikh Anowarul Fattah, Mohammad Saquib
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Nucleus segmentation
attention mechanism
contourlet transform
wavelet pooling
encoder-decoder network
Online Access:https://ieeexplore.ieee.org/document/10271272/

Internet

https://ieeexplore.ieee.org/document/10271272/

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