Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks

no code implementations • 10 Mar 2023 • Oumaima Hamila, Christopher J. Henry, Oscar I. Molina, Christopher P. Bidinosti, Maria Antonia Henriquez

Moreover, 3D CNN models for FHB severity estimation were created, and our best model achieved 8. 6 MAE.

Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography

no code implementations • 26 Mar 2021 • Oumaima Hamila, Sheela Ramanna, Christopher J. Henry, Serkan Kiranyaz, Ridha Hamila, Rashid Mazhar, Tahir Hamid

Our model is implemented as a pipeline consisting of a 2D CNN that performs data preprocessing by segmenting the LV chamber from the apical four-chamber (A4C) view, followed by a 3D CNN that performs a binary classification to detect if the segmented echocardiography shows signs of MI.

Binary Classification Myocardial infarction detection +2