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12/30/2022
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors
Machine learning-based segmentation in medical imaging is widely used in...
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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...
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09/11/2021
A Novel Intrinsic Measure of Data Separability
In machine learning, the performance of a classifier depends on both the...
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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...
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06/17/2021
A Distance-based Separability Measure for Internal Cluster Validation
To evaluate clustering results is a significant part of cluster analysis...
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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...
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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 ...
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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....
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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...
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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 (...
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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...
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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 ...
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05/27/2020
Data Separability for Neural Network Classifiers and the Development of a Separability Index
In machine learning, the performance of a classifier depends on both the...
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02/27/2020
