Abstract: Accurate segmentation of colorectal polyps in colonoscopy images is crucial for early cancer diagnosis, which is currently still challenging in terms of low contrast, different polyp sizes ...

1 Henan Agricultural Information Data Intelligent Engineering Research Center, SIAS University, Zhengzhou, China 2 College of Computer, Xijing University, Xi’an, China Precise paddy pest image ...

1 School of Artificial Intelligence and Digital Economy Industry, Guangzhou Institute of Science and Technology, Guangzhou, China 2 Department of Cardiology, Second Affiliated Hospital of Nanchang ...

Semantic segmentation without using GPU with RaspberryPi. In order to maximize the learning efficiency of the model, this learns only the "Person" class of VOC2012. I confirmed the operation with ...

Reno may be “the biggest little city in the world,” but it's got some serious competition from the miniature New York City that hobbyist Joseph Macken built in his upstate New York basement over two ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Abstract: In this paper, we propose an improved Unet model for brain tumor image segmentation, which combines coordinate attention mechanism and ASPP module to improve the segmentation effect. After ...

This project implements Embedding U-Net, a novel approach to instance segmentation that solves the critical challenge of separating touching and overlapping objects in cluttered scenes. Unlike ...