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Local Integral Regression Network for Cell Nuclei Detection

Xiao Zhou, Miao Gu, Zhen Cheng
2021 Entropy  
Nuclei detection is a fundamental task in the field of histopathology image analysis and remains challenging due to cellular heterogeneity.  ...  Furthermore, the LIRNet can output an exquisite density map of nuclei, in which the localization of each nucleus is barely affected by the post-processing algorithms.  ...  oriented confidence accumulation (VOCA) [7] , and shape prior convolutional neural network (TSP-CNN) [39] .  ... 
doi:10.3390/e23101336 pmid:34682060 fatcat:m3bdo7kirzam7pgqvn6lgzehsm

Intelligent Medical Image Analysis for Quality Assurance, Teaching and Evaluation [article]

Alper Aksac, University Of Calgary, Reda Alhajj
These problems can be alleviated by developing automated image analysis tools for digitized histopathology.  ...  We have developed an automatic cell nuclei detection method where the proposed solution uses the traditional CNN learning scheme solely to detect nuclei, and then applies single-pass voting with spatial  ...  [223] proposed a novel deep learning algorithm called vector oriented confidence accumulation.  ... 
doi:10.11575/prism/37948 fatcat:nvejsx6pljcudb45xkvel6hpua