基于机器学习的胸部X 光片分类及胸部病变定位方法研究
李子荣 - 2019 - ir.lzu.edu.cn
Lung cancer is one of the world's cancers with high morbidity and mortality rates. In 2015,
lung cancer accounted for 17.1%(733,000 cases) of the 4.292 million new cancer cases in …
lung cancer accounted for 17.1%(733,000 cases) of the 4.292 million new cancer cases in …
[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 …
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 …
[HTML][HTML] Deep learning methods for automatic classification of medical images and disease detection based on chest X-Ray images
L Mayats-Alpay - 2022 - europepmc.org
Detecting and classifying diseases using X-Ray images is one of the more challenging core
tasks in the medical and research world. Due to the recent high interest in radiological …
tasks in the medical and research world. Due to the recent high interest in radiological …
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 …
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 …
basis of the analysis of Chinese reports of chest X-rays, a labeling method of the thoracic …
Chest X-ray pathology detection using Deep Learning and Transfer Learning
IR Oviya, C Spandana, S Krithika - 2022 IEEE 7th International …, 2022 - ieeexplore.ieee.org
Chest radiography is used to identify, diagnose, and treat lung illnesses including
pulmonary nodules, TB, and interstitial lung disease. Chest radiography provides a wealth of …
pulmonary nodules, TB, and interstitial lung disease. Chest radiography provides a wealth of …
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 …
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 …
Application of deep learning in chest X-ray abnormality detection
Lung diseases are the most common diseases worldwide, especially in Vietnam. Certain
thoracic lung diseases can even lead to dangerous conditions for patients. X-ray are a …
thoracic lung diseases can even lead to dangerous conditions for patients. X-ray are a …
[PDF][PDF] Pneumonia Detection on Chest X-Rays with Deep Learning
Z Yang, F Jin - fangjin.github.io
Automating the process of diagnosing pneumonia from radio-graph is of great importance
and practical implication. However, this task is challenging due to three facts. First, training a …
and practical implication. However, this task is challenging due to three facts. First, training a …
Deep chest X‐ray: detection and classification of lesions based on deep convolutional neural networks
We investigated whether a convolutional neural network (CNN) can enhance the usability of
computer‐aided detection (CAD) of chest radiographs for various pulmonary abnormal …
computer‐aided detection (CAD) of chest radiographs for various pulmonary abnormal …