Time-frequency time-space long short-term memory networks for image classification of histopathological tissue
Abstract Image analysis in histopathology provides insights into the microscopic examination of tissue for disease diagnosis, prognosis, and biomarker discovery. Particularly for cancer research, precise classification of histopathological images is the ultimate objective of the image analysis. Here...
Enregistré dans:
Auteur principal: | Tuan D. Pham |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/e6e6d54865f14d7988830a92e14f3ebc |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Time–frequency time–space LSTM for robust classification of physiological signals
par: Tuan D. Pham
Publié: (2021) -
Multistage Real-Time Fire Detection Using Convolutional Neural Networks and Long Short-Term Memory Networks
par: Manh Dung Nguyen, et autres
Publié: (2021) -
Classification of Variable Stars Light Curves Using Long Short Term Memory Network
par: Saksham Bassi, et autres
Publié: (2021) -
A decomposition‐based multi‐time dimension long short‐term memory model for short‐term electric load forecasting
par: Jiehui Huang, et autres
Publié: (2021) -
Brain wave classification using long short-term memory network based OPTICAL predictor
par: Shiu Kumar, et autres
Publié: (2019)