research
∙
01/08/2022
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers
Instead of using current deep-learning segmentation models (like the UNe...
share
research
∙
09/11/2021
A Novel Intrinsic Measure of Data Separability
In machine learning, the performance of a classifier depends on both the...
research
∙
08/16/2021
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects
Segmenting medical images accurately and reliably is important for disea...
research
∙
06/17/2021
A Distance-based Separability Measure for Internal Cluster Validation
To evaluate clustering results is a significant part of cluster analysis...
research
∙
05/10/2021
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation
Currently, developments of deep learning techniques are providing instru...
research
∙
03/22/2021
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation
Real-time semantic segmentation is playing a more important role in comp...
research
∙
01/05/2021
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images
Humans can count very fast by subitizing, but slow substantially as the ...
research
∙
10/31/2020
Segmentation of Infrared Breast Images Using MultiResUnet Neural Network
Breast cancer is the second leading cause of death for women in the U.S....
research
∙
10/26/2020
The estimation of training accuracy for two-layer neural networks on random datasets without training
Although the neural network (NN) technique plays an important role in ma...
research
∙
09/16/2020
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary
For supervised learning models, the analysis of generalization ability (...
research
∙
09/02/2020
An Internal Cluster Validity Index Based on Distance-based Separability Measure
To evaluate clustering results is a significant part in cluster analysis...
research
∙
07/29/2020
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that h...
research
∙
05/31/2020
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation
Recently, deep learning has become much more popular in computer vision ...
research
∙
05/27/2020
