most citedCellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2020★ 1 cited

Brain-Computer Interfaces and the Dangers of Neurocapitalism

Srdjan Lesaja, Xavier-Lewis Palmer

We review how existing trends are relevant to the discussion of brain-computer interfaces and the data they would generate. Then, we posit how the commerce of neural data, dubbed N…

cs.NE2020

A Preliminary Exploration into an Alternative CellLineNet: An Evolutionary Approach

Akwarandu Ugo Nwachuku, Xavier Lewis-Palmer, Darlington Ahiale Akogo

Within this paper, the exploration of an evolutionary approach to an alternative CellLineNet: a convolutional neural network adept at the classification of epithelial breast cancer…

cs.CV2018★ 6 cited

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…

cs.CV2018

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…

cs.CV2018

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…