相关实验视频

Updated: Jul 24, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K

BiDFDC-Net:基于双向反的密集连接网络,用于皮肤图像细分

Jinyun Jiang1, Zitong Sun1, Qile Zhang2

  • 1College of Mechanical Engineering, Quzhou University, Quzhou, China.

Frontiers in physiology
|July 6, 2023
PubMed
概括

这项研究介绍了BiDFDC-Net,这是一个新的深度学习框架,用于在皮肤镜图像中准确地细分皮肤病变. 拟议的网络增强了特征传播和多尺度信息融合,在临床应用中实现了高精度.

关键词:
这就是U-Net.这是一种双向反.有密集的连接连接.图像细分 图像细分皮肤 皮肤 皮肤

更多相关视频

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

12.3K
Deep Neural Networks for Image-Based Dietary Assessment13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.2K

相关概念视频

Dense Connective Tissue01:13

Dense Connective Tissue

Dense connective tissue contains more collagen fibers than loose connective tissue. As a consequence, it displays greater resistance to stretching. There are two major categories of dense connective tissue— regular and irregular.
Dense Regular Connective Tissue
In dense regular connective tissue, fibers are arranged parallel to each other, enhancing its tensile strength and resistance to stretching in the direction of the fiber orientations. Ligaments and tendons are made of dense regular...
7.9K