Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images

L Hou, V Nguyen, AB Kanevsky, D Samaras, TM Kurc… - Pattern recognition, 2019 - Elsevier
We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus detection
and feature extraction in histopathology tissue images. Our CAE detects and encodes nuclei …

[PDF][PDF] Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images

T Zhao, RR Gupta, Y Gao, W Chen, D Foran, JH Saltz - 2018 - cs.stonybrook.edu
abstract We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus
detection and feature extraction in histopathology tissue images. Our CAE detects and …

[HTML][HTML] Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

L Hou, V Nguyen, AB Kanevsky, D Samaras… - Pattern …, 2019 - ncbi.nlm.nih.gov
We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus detection
and feature extraction in histopathology tissue images. Our CAE detects and encodes nuclei …

[PDF][PDF] Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

L Hou, V Nguyen, D Samaras, TM Kurc, Y Gao, T Zhao… - researchgate.net
Histopathology images are crucial to the study of complex diseases such as cancer. The
histologic characteristics of nuclei play a key role in disease diagnosis, prognosis and …

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images

L Hou, V Nguyen, AB Kanevsky… - Pattern …, 2019 - researchwithrutgers.com
We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus detection
and feature extraction in histopathology tissue images. Our CAE detects and encodes nuclei …

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images

L Hou, V Nguyen, AB Kanevsky… - Pattern …, 2019 - ui.adsabs.harvard.edu
We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus detection
and feature extraction in histopathology tissue images. Our CAE detects and encodes nuclei …

Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

L Hou, V Nguyen, D Samaras, TM Kurc, Y Gao… - arXiv preprint arXiv …, 2017 - arxiv.org
Histopathology images are crucial to the study of complex diseases such as cancer. The
histologic characteristics of nuclei play a key role in disease diagnosis, prognosis and …

Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

L Hou, V Nguyen, AB Kanevsky… - Pattern …, 2019 - pubmed.ncbi.nlm.nih.gov
We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus detection
and feature extraction in histopathology tissue images. Our CAE detects and encodes nuclei …

Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images.

L Hou, V Nguyen, AB Kanevsky, D Samaras… - Pattern …, 2018 - europepmc.org
We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus detection
and feature extraction in histopathology tissue images. Our CAE detects and encodes nuclei …

Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

L Hou, V Nguyen, D Samaras, TM Kurc, Y Gao… - arXiv e …, 2017 - ui.adsabs.harvard.edu
Histopathology images are crucial to the study of complex diseases such as cancer. The
histologic characteristics of nuclei play a key role in disease diagnosis, prognosis and …