research
∙
12/28/2020
3D Axial-Attention for Lung Nodule Classification
Purpose: In recent years, Non-Local based methods have been successfully...
share
research
∙
12/17/2020
A new semi-supervised self-training method for lung cancer prediction
Background and Objective: Early detection of lung cancer is crucial as i...
research
∙
10/29/2020
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification
Lung cancer classification in screening computed tomography (CT) scans i...
research
∙
10/09/2019
Cribriform pattern detection in prostate histopathological images using deep learning models
Architecture, size, and shape of glands are most important patterns used...
research
∙
04/23/2019
Lung Nodule Classification using Deep Local-Global Networks
Purpose: Lung nodules have very diverse shapes and sizes, which makes cl...
research
∙
01/01/2019
Gated-Dilated Networks for Lung Nodule Classification in CT scans
Different types of Convolutional Neural Networks (CNNs) have been applie...
research
∙
12/30/2016
Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks
With rapid development of the Internet, web contents become huge. Most o...
research
∙
08/09/2016