Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

We propose a sparse Convolutional Autoencoder (CAE) for simultaneous nucleus detection and feature extraction in histopathology tissue images. Our CAE detects and encodes nuclei in image patches in tissue images into sparse feature maps that encode both the location and appearance of nuclei. A prima...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Pattern Recognit
Päätekijät: Hou, Le, Nguyen, Vu, Kanevsky, Ariel B., Samaras, Dimitris, Kurc, Tahsin M., Zhao, Tianhao, Gupta, Rajarsi R., Gao, Yi, Chen, Wenjin, Foran, David, Saltz, Joel H.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2018
Aiheet:
Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6322841/
https://ncbi.nlm.nih.gov/pubmed/30631215
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2018.09.007
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia