MitosisNet: End-to-End Mitotic Cell Detection by Multi-Task Learning

MitosisNet: End-to-End Mitotic Cell Detection by Multi-Task Learning

Mitotic cell detection is one of the challenging problems in the field of computational pathology. Currently, mitotic cell detection and counting are one of the strongest prognostic markers for breast cancer diagnosis. The clinical visual inspection on histology slides is tedious, error prone, and t...

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Bibliographic Details
Main Authors: Md Zahangir Alom, Theus Aspiras, Tarek M. Taha, T.J. Bowen, Vijayan K. Asari
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
DCNN
IRRCNN
multi-task learning
mitosis detection
R2U-Net
MitosisNet
Online Access:https://ieeexplore.ieee.org/document/9050539/

Internet

https://ieeexplore.ieee.org/document/9050539/

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