IEEE

FCoDT-Net: A Novel Framework for High-Precision Medical Image Segmentation Using Contextual Distillation Transformer

Abstract: Current methods in medical image semantic segmentation often rely on simple skip connections within U-shaped network structures. These approaches fail to bridge the semantic gap between the ...
IEEE

Dense Segmentation Techniques Using Deep Learning for Urban Scene Parsing: A Review

Abstract: Dense segmentation tasks, including semantic, instance, and panoptic segmentation, are essential for improving our comprehension of urban landscapes. This paper examines various deep ...
IEEE

On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...
CNN

How drones and AI are protecting the Brazilian rainforest

Brazil is home to some of the planet’s largest areas of tropical forest, but they are under intense pressure. The Atlantic Forest, on the country’s eastern coast, once covered 350 million acres, but ...
IEEE

A Method of Malware Detection Using Machine Learning Algorithm

Abstract: The current challenge, in the cyber world is to identify and categorize software. To tackle this machine learning can be utilized to detect and classify malware by analyzing patterns, ...