Machine learning-based segmentation in medical imaging is widely used in...
Instead of using current deep-learning segmentation models (like the UNe...
In machine learning, the performance of a classifier depends on both the...
Segmenting medical images accurately and reliably is important for disea...
To evaluate clustering results is a significant part of cluster analysis...
Currently, developments of deep learning techniques are providing
instru...
Humans can count very fast by subitizing, but slow substantially as the
...
Breast cancer is the second leading cause of death for women in the U.S....
Although the neural network (NN) technique plays an important role in ma...
For supervised learning models, the analysis of generalization ability
(...
To evaluate clustering results is a significant part in cluster analysis...
Recently, deep learning has become much more popular in computer vision ...
In machine learning, the performance of a classifier depends on both the...
The Generative Adversarial Network (GAN) is a state-of-the-art technique...