Robust Nucleus Detection With Partially Labeled Exemplars

Robust Nucleus Detection With Partially Labeled Exemplars

Quantitative analysis of cell nuclei in microscopic images is an essential yet challenging source of biological and pathological information. The major challenge is accurate detection and segmentation of densely packed nuclei in images acquired under a variety of conditions. Mask R-CNN-based methods...

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Bibliographic Details
Main Authors: Linqing Feng, Jun Ho Song, Jiwon Kim, Soomin Jeong, Jin Sung Park, Jinhyun Kim
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Nucleus segmentation
deep learning
convolutional neural networks
few-exemplar learning
semisupervised learning
computer-assisted annotating
Online Access:https://ieeexplore.ieee.org/document/8894044/

Internet

https://ieeexplore.ieee.org/document/8894044/

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