Cargando…
Optimization of Network Topology in Computer-Aided Detection Schemes Using Phased Searching with NEAT in a Time-Scaled Framework
In the field of computer-aided mammographic mass detection, many different features and classifiers have been tested. Frequently, the relevant features and optimal topology for the artificial neural network (ANN)-based approaches at the classification stage are unknown, and thus determined by trial-...
Autores principales: | Tan, Maxine, Pu, Jiantao, Zheng, Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216038/ https://www.ncbi.nlm.nih.gov/pubmed/25392680 http://dx.doi.org/10.4137/CIN.S13885 |
Ejemplares similares
-
A Comparison of Computer-Aided Diagnosis Schemes Optimized Using Radiomics and Deep Transfer Learning Methods
por: Danala, Gopichandh, et al.
Publicado: (2022) -
Phase-vanishing halolactonization of neat substrates
por: Windmon, Nicole, et al.
Publicado: (2008) -
Topology optimization aided structural design: Interpretation, computational aspects and 3D printing
por: Kazakis, Georgios, et al.
Publicado: (2017) -
Two‐scale topology optimization in computational material design: An integrated approach
por: Ferrer, A., et al.
Publicado: (2018) -
Development of topological optimization schemes controlling the trajectories of multiple particles in fluid
por: Yoon, Gil Ho, et al.
Publicado: (2021)