Skin cancers are increasing at an alarming rate, and detection in the early stages is
essential for advanced treatment. The current segmentation methods have limited labeling …

This paper presents an edge-based color image segmentation approach, derived from the
method of particle motion in a vector image field, which could previously be applied only to …

Medical image segmentation is a complex and critical step in the field of medical image
processing and analysis. Manual annotation of the medical image requires a lot of effort by …

A recurrent attention model is considered for application to image classification tasks.
Modifications to the approach to improve its accuracy are described. Utilization of the reward …

Cloud computing is the primary carrier of artificial intelligence services and deep learning
algorithms by providing powerful computation and storage resources. However, the device …

안과 환자의 질병을 판단하기 위해서는 특수 촬영 장비를 통해 찍은 안구영상을 이용한
안과의사의 주관적 판단의 개입이 전통적으로 활용되고 있다. 본 연구에서는 안과 의료진이 …

Рассмотрена рекуррентная модель внимания применительно к задачам
классификации изображений. Приведены модификации подхода, которые позволяют …

This paper presents an Edge-based color image segmentation derived from the method of
Particle Motion in a Vector Image Fields (PMVIF) that could previously be applied only to …

The image semantic segmentation challenge consists of classifying each pixel of an image
(or just several ones) into an instance, where each instance (or category) corresponds to an …