[HTML][HTML] 注意力特征融合VGG-16 网络的胸透病理识别方法

罗珺茜, 彭嘉, 周娟, 龙楷潮, 韦焕泽, 张利 - Modeling and Simulation, 2024 - hanspub.org
美国国立卫生研究院发布了一个名为“Chest-ray8” 的胸部X 光图像数据库, 这些图像共标记八种
类型的疾病. 从临床图像中识别病理, 开发人工智能辅助诊断系统, 帮助医生识别病理一直是一项 …

Convolutional neural networks for the classification of chest X-rays in the IoT era

K Almezhghwi, S Serte, F Al-Turjman - Multimedia tools and applications, 2021 - Springer
Chest X-ray medical imaging technology allows the diagnosis of many lung diseases. It is
known that this technology is frequently used in hospitals, and it is the most accurate way of …

Classification of Chest X-ray Disease Based on Convolutional Neural Network

H Xin, F Yu, M Gu - Journal of System Simulation, 2020 - dc-china-simulation …
The artificial intelligence technology can effectively assist the chest X-ray diagnosis. On the
basis of the analysis of Chinese reports of chest X-rays, a labeling method of the thoracic …

Classification of chest X-ray disease based on convolutional neural network

X Huang, Y Fang, M Gu - Journal of System Simulation, 2020 - china-simulation.com
The artificial intelligence technology can effectively assist the chest X-ray diagnosis. On the
basis of the analysis of Chinese reports of chest X-rays, a labeling method of the thoracic …

[PDF][PDF] Chest X-rays Classification Using CNN and SVM

MA Hassan, R Qaddoushah… - Proceedings of …, 2023 - researchgate.net
Chest X-rays are a common and valuable tool in the diagnosis and treatment of various
chest diseases. However, interpreting chest X-rays requires considerable medical expertise …

Pulmonary image classification based on inception-v3 transfer learning model

C Wang, D Chen, L Hao, X Liu, Y Zeng, J Chen… - IEEE …, 2019 - ieeexplore.ieee.org
Chest X-ray film is the most widely used and common method of clinical examination for
pulmonary nodules. However, the number of radiologists obviously cannot keep up with this …

Deep Learning Applied to Chest Medical Images Classification

N AYAT HIBA - 2023 - dspace.univ-tiaret.dz
Lung disease is common throughout the world. Especially these include pneumonia, covid,
tuberculosis, and lung opacity; so an early and precise diagnosis of lung disease is …

[PDF][PDF] 基于高效通道注意力的胸部X 光片疾病分类算法

邵凌云, 李锵, 关欣, 丁学文 - Laser & Optoelectronics Progress, 2023 - researching.cn
摘要深入研究不同肺部疾病的X 射线光片, 有助于更清晰, 准确地区分和预测各种疾病. 基于此,
提出一种基于高效通道注意力机制的胸部X 光片疾病分类算法. 将高效通道注意力模块以密集 …

A lung image classification method: A classifier constructed by combining improved vgg16 and gradient boosting decision tree

M Wang, D Li, LI Tang - Journal of Mechanics in Medicine and …, 2021 - World Scientific
Early classification and diagnosis of lung diseases is essential to increase the best chance
of patient recovery and survival. Using deep learning to make it possible, the key is how to …

基于卷积神经网络的X 线胸片疾病分类研究

黄欣, 方钰, 顾梦丹 - 系统仿真学报, 2020 - china-simulation.com
利用人工智能技术可以有效的辅助胸片的诊断. 通过对中文X 线胸片检查报告文本挖掘,
提出一种以基于异常部位的疾病分类标注方法, 并整理出一个基于中文X 线胸片检查报告的疾病 …