Search Results for author: Vincent Appiah

Found 1 papers, 0 papers with code

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

no code implementations18 Aug 2018 Darlington Ahiale Akogo, Vincent Appiah, Xavier-Lewis Palmer

CellLineNet is 31-layer Convolutional Neural Network trained, validated and tested on a 3, 252 image dataset of 5 types of Epithelial Breast cell Lines (MDA-MB-468, MCF7, 10A, 12A and HC11) in an end-to-end fashion.

Classification General Classification +1

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