6 citations · 7 across the 5 of their papers we have counts for
3 papers · 1 filter
CellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network
Darlington Ahiale Akogo, Vincent Appiah, Xavier-Lewis Palmer
Computer Vision for Analyzing and Classifying cells and tissues often require rigorous lab procedures and so automated Computer Vision solutions have been sought. Most work in such…
End-to-End Learning via a Convolutional Neural Network for Cancer Cell Line Classification
Darlington Ahiale Akogo, Xavier-Lewis Palmer
Computer Vision for automated analysis of cells and tissues usually include extracting features from images before analyzing such features via various Machine Learning and Machine…
ScaffoldNet: Detecting and Classifying Biomedical Polymer-Based Scaffolds via a Convolutional Neural Network
Darlington Ahiale Akogo, Xavier-Lewis Palmer
We developed a Convolutional Neural Network model to identify and classify Airbrushed (alternatively known as Blow-spun), Electrospun and Steel Wire scaffolds. Our model ScaffoldNe…