Computational cytology is a critical, rapid-develo**, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …

Cervical cancer is one of the most deadly and common diseases among women worldwide.
It is completely curable if diagnosed in an early stage, but the tedious and costly detection …

In the present work, we have explored the potential of Copula-based ensemble of CNNs
(Convolutional Neural Networks) over individual classifiers for malignancy identification in …

Generative Adversarial Network (GAN), deemed as a powerful deep-learning-based silver
bullet for intelligent data generation, has been widely used in multi-disciplines. Furthermore …

This review article describes synthetic data, its applications, and examples of improving
neural network algorithms with synthetic data. Using these examples, we show the important …

Cancer is one of the fatal threats to human beings. However, early detection and diagnosis
can significantly reduce death risk, in which cytology classification is indispensable …

One of the solutions to the problem of insufficiently large training datasets in image
processing is data augmentation. This process artificially extends the size of training …

Automation in medical imaging is quite challenging due to the unavailability of annotated
datasets and the scarcity of domain experts. In recent years, deep learning techniques have …

Software testing techniques are widely used, Software Testing is indispensable in the quality
assurance process, whether in the development or during the tool delivery process. It is …