Image classification has always been a hot research direction in the world, and the
emergence of deep learning has promoted the development of this field. Convolutional …

With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …

Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

The computer-aided diagnosis of prostate ultrasound images can aid in the detection and
treatment of prostate cancer. However, the ultrasound images of the prostate sometimes …

In this paper, we propose a novel medial axis-based machine vision technique for
autonomous path tracking and navigation of an agricultural robot in orchards. In the …

Unmanned aerial vehicles as known as drones, are aircraft that can comfortably search
locations which are excessively dangerous or difficult for humans and take data from bird's …

With the increasing incidence rate of lung cancer patients, early diagnosis could help in
reducing the mortality rate. However, accurate recognition of cancerous lesions is …

Globally, cervical cancer ranks as the fourth most prevalent cancer affecting women.
However, it can be successfully treated if detected at an early stage. The Pap smear is a …

As social networks are getting more and more popular day by day, large numbers of users
becoming constantly active social network users. In this way, there is a huge amount of data …

With the advance of digital pathology, image analysis has begun to show its advantages in
information analysis of hematoxylin and eosin histopathology images. Generally …