Adversarial learning with data selection for cross-domain histopathological breast Cancer segmentation

2022 ◽  
Author(s):  
Zhenrong Lin ◽  
Jidong Li ◽  
Qipeng Yao ◽  
Haocheng Shen ◽  
Lihang Wan
Keyword(s):  
Breast Cancer ◽  
Data Selection ◽  
Adversarial Learning ◽  
Cross Domain ◽  
Selection For

Data selection for naturalness in HMM-based speech synthesis

2016 ◽  
Author(s):  
Erica Cooper ◽  
Yocheved Levitan ◽  
Julia Hirschberg
Keyword(s):  
Speech Synthesis ◽  
Data Selection ◽  
Selection For

scholarly journals The role of steroid hormones in breast cancer stem cells

2015 ◽  
Vol 22 (6) ◽  
pp. T177-T186 ◽  
Author(s):  
Bruno M Simões ◽  
Denis G Alferez ◽  
Sacha J Howell ◽  
Robert B Clarke
Keyword(s):  
Breast Cancer ◽  
Stem Cells ◽  
Cancer Stem Cells ◽  
Steroid Hormones ◽  
Normal Mammary Gland ◽  
Breast Cancer Stem Cells ◽  
Tumor Initiating Cells ◽  
Unit Of Selection ◽  
Selection For

Breast cancer stem cells (BCSCs) are potent tumor-initiating cells in breast cancer, the most common cancer among women. BCSCs have been suggested to play a key role in tumor initiation which can lead to disease progression and formation of metastases. Moreover, BCSCs are thought to be the unit of selection for therapy-resistant clones since they survive conventional treatments, such as chemotherapy, irradiation, and hormonal therapy. The importance of the role of hormones for both normal mammary gland and breast cancer development is well established, but it was not until recently that the effects of hormones on BCSCs have been investigated. This review will discuss recent studies highlighting how ovarian steroid hormones estrogen and progesterone, as well as therapies against them, can regulate BCSC activity.

Improving data selection for low-resource STT and KWS

2015 ◽  
Author(s):  
Thiago Fraga-Silva ◽  
Antoine Laurent ◽  
Jean-Luc Gauvain ◽  
Lori Lamel ◽  
Viet-Bac Le ◽  
...  
Keyword(s):  
Data Selection ◽  
Low Resource ◽  
Selection For

Active learning based data selection for limited resource STT and KWS

2015 ◽  
Author(s):  
Thiago Fraga-Silva ◽  
Jean-Luc Gauvain ◽  
Lori Lamel ◽  
Antoine Laurent ◽  
Viet-Bac Le ◽  
...  
Keyword(s):  
Active Learning ◽  
Limited Resource ◽  
Data Selection ◽  
Selection For

Data-driven method for training data selection for deep learning

2021 ◽  
Author(s):  
C. Lacombe ◽  
I. Hammoud ◽  
J. Messud ◽  
H. Peng ◽  
T. Lesieur ◽  
...  
Keyword(s):  
Deep Learning ◽  
Training Data ◽  
Data Selection ◽  
Data Driven ◽  
Selection For ◽  
Training Data Selection

Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning

2020 ◽  
pp. 507-522
Author(s):  
Jin Li ◽  
Zhaohui Peng ◽  
Senzhang Wang ◽  
Xiaokang Xu ◽  
Philip S. Yu ◽  
...  
Keyword(s):  
Graph Embedding ◽  
Adversarial Learning ◽  
Cross Domain
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