activity
20182025
most citedCellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network

6 citations · 12 across the 8 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.CY2020★ 1 cited

A Standardized Radiograph-Agnostic Framework and Platform For Evaluating AI Radiological Systems

Darlington Ahiale Akogo

Radiology has been essential to accurately diagnosing diseases and assessing responses to treatment. The challenge however lies in the shortage of radiologists globally. As a respo…

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…