activity
20182022
most citedA Standardized Radiograph-Agnostic Framework and Platform For Evaluating AI Radiological Systems

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

eess.IV2022

minoHealth.ai: A Clinical Evaluation Of Deep Learning Systems For the Diagnosis of Pleural Effusion and Cardiomegaly In Ghana, Vietnam and the United States of America

Darlington Akogo, Benjamin Dabo Sarkodie, Issah Abubakari Samori +3

A rapid and accurate diagnosis of cardiomegaly and pleural effusion is of the utmost importance to reduce mortality and medical costs. Artificial Intelligence has shown promise in…

cs.CY20201 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…

cs.CV2018

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…