Sep 24, 2019 · An automated nucleus detection framework based on a stacked sparse autoencoder (SSAE) and a case-based postprocessing method (CPM) is proposed.
This paper proposes an automated nucleus detection framework based on a stacked sparse autoencoder (SSAE) and a case-based postprocessing method (CPM) in a ...
This paper proposes an automated nucleus detection framework based on a stacked sparse autoencoder (SSAE) and a case-based postprocessing method (CPM) in a ...
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What is a stacked sparse autoencoder?
... nuclei. This paper proposes an automated nucleus detection framework based on a stacked sparse autoencoder (SSAE) and a case-based postprocessing method ...
A Stacked Sparse Autoencoder, an instance of a deep learning strategy, is presented for efficient nuclei detection on high-resolution histopathological ...
Nov 1, 2018 · In this paper, a Stacked Sparse Autoencoder (SSAE) based framework is presented for nuclei classification on breast cancer histopathology.
Stacked sparse autoencoder and case-based postprocessing method for nucleus detection ... Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast ...
We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus detection and feature ex- traction in histopathology tissue images.
Liu and Y. D. Yao, “Stacked sparse autoencoder and case-based postprocessing method for nucleus detection,” Neurocomputing, vol. 35, no. 9, pp. 494–508 ...
A method [27] is proposed to detect the vertebrae centroids by using an FCN to get a probability map for each vertebra, which is the message-passing technique ...