The diagnosis of liver cancer is one of the most attractive fields in clinical practice for its high
mortality. Accurate segmentation of liver and tumor has been publicly accepted to be an …

Automatic license plate recognition has become a significant tool as a result of the
development of smart cities. During the experiment studied in the current paper, 50 images …

There is clinical evidence that suppressing the bone structures in Chest X-rays (CXRs)
improves diagnostic value, either for radiologists or computer-aided diagnosis. However …

In this paper, we provide a study on deep convolution neural networks for finding the
appropriateness of using the transfer learning to screen an individual at risk of Age-related …

This study presents an algorithm for fingerprint classification using a CNN (convolutional
neural network) model and making use of full images belonging to four digital databases …

In this paper, we provide a new framework on deep learning based automated screening
method for finding individuals at risk of developing Age-related Macular Degeneration …

Generally medical images are of low contrast. They need to be enhanced for computer
diagnosis as well as for observation and analysis by a doctor. Edge detection is one of the …

The presence of tigers in residential areas as predators was a threat to humans and their
livestock. Through digital image processing, these animals could be identified by matching …

Retinal vessel tree extraction is a crucial step for analyzing the microcirculation, a frequently
needed process in the study of relevant diseases. To date, this has normally been done by …

The two-dimensional estimation is the approach to porosity par excellence in the literature of
insect-proof screens for their geometric characterisation and estimation of their aerodynamic …