Výsledky vyhledávání - "Journal of X-ray science and technology"

Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches Autor Rahaman, Md Mamunur, Li, Chen, Yao, Yudong, Kulwa, Frank, Rahman, Mohammad Asadur, Wang, Qian, Qi, Shouliang, Kong, Fanjie, Zhu, Xuemin, Zhao, Xin

“…The novel coronavirus disease 2019 (COVID-19) constitutes a public health emergency globally. The number of infected people and deaths are proliferating every…”
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Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: Methods, applications and limitations Autor Hussain, Dildar, Al-Masni, Mohammed A, Aslam, Muhammad, Sadeghi-Niaraki, Abolghasem, Hussain, Jamil, Gu, Yeong Hyeon, Naqvi, Rizwan Ali

“…The emergence of deep learning (DL) techniques has revolutionized tumor detection and classification in medical imaging, with multimodal medical imaging (MMI)…”
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Analysis of thin-section CT in patients with coronavirus disease (COVID-19) after hospital discharge Autor Wei, Jiangping, Yang, Hong, Lei, Pinggui, Fan, Bing, Qiu, Yingying, Zeng, Bingliang, Yu, Peng, Lv, Jian, Jian, Yinchao, Wan, Chengfeng

“…To analyze clinical and thin-section computed tomographic (CT) data from the patients with coronavirus disease (COVID-19) to predict the development of…”
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Classification by a stacking model using CNN features for COVID-19 infection diagnosis Autor Taspinar, Yavuz Selim, Cinar, Ilkay, Koklu, Murat

“…Affecting millions of people all over the world, the COVID-19 pandemic has caused the death of hundreds of thousands of people since its beginning…”
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Lung cancer histopathological image classification using wavelets and AlexNet Autor Sethy, Prabira Kumar, Geetha Devi, A, Padhan, Bikash, Behera, Santi Kumari, Sreedhar, Surampudi, Das, Kalyan

“…Among malignant tumors, lung cancer has the highest morbidity and fatality rates worldwide. Screening for lung cancer has been investigated for decades in…”
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A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology Autor Qiu, Yuchen, Yan, Shiju, Gundreddy, Rohith Reddy, Wang, Yunzhi, Cheng, Samuel, Liu, Hong, Zheng, Bin

“…To develop and test a deep learning based computer-aided diagnosis (CAD) scheme of mammograms for classifying between malignant and benign masses. An image…”
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Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms Autor Albahli, Saleh, Albattah, Waleed

“…This study aims to employ the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for early…”
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Artificial intelligence auxiliary diagnosis and treatment system for breast cancer in developing countries Autor Li, Wenxiu, Gou, Fangfang, Wu, Jia

“…In many developing countries, a significant number of breast cancer patients are unable to receive timely treatment due to a large population base, high…”
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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning Autor Zhao, Xinzhuo, Qi, Shouliang, Zhang, Baihua, Ma, He, Qian, Wei, Yao, Yudong, Sun, Jianjun

“…Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images…”
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Automated vessel segmentation in lung CT and CTA images via deep neural networks Autor Tan, Wenjun, Zhou, Luyu, Li, Xiaoshuo, Yang, Xiaoyu, Chen, Yufei, Yang, Jinzhu

“…The distribution of pulmonary vessels in computed tomography (CT) and computed tomography angiography (CTA) images of lung is important for diagnosing disease,…”
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Clinical and radiological features of novel coronavirus pneumonia Autor Zheng, Qiuting, Lu, Yibo, Lure, Fleming, Jaeger, Stefan, Lu, Puxuan

“…Recently, COVID-19 has spread in more than 100 countries and regions around the world, raising grave global concerns. COVID-19 transmits mainly through…”
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Analysis of segmentation of lung parenchyma based on deep learning methods Autor Tan, Wenjun, Huang, Peifang, Li, Xiaoshuo, Ren, Genqiang, Chen, Yufei, Yang, Jinzhu

“…Precise segmentation of lung parenchyma is essential for effective analysis of the lung. Due to the obvious contrast and large regional area compared to other…”
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Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features Autor Sun, Zongqiong, Hu, Shudong, Ge, Yuxi, Wang, Jun, Duan, Shaofeng, Song, Jiayang, Hu, Chunhong, Li, Yonggang

“…To predict programmed death-ligand 1 (PD-L1) expression of tumor cells in non-small cell lung cancer (NSCLC) patients by using a radiomics study based on CT…”
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COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader Autor Polat, Çağín, Karaman, Onur, Karaman, Ceren, Korkmaz, Güney, Balcı, Mehmet Can, Kelek, Sevim Ercan

“…Chest X-ray imaging has been proved as a powerful diagnostic method to detect and diagnose COVID-19 cases due to its easy accessibility, lower cost and rapid…”
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Optimizing dual energy X-ray image enhancement using a novel hybrid fusion method Autor Fahad, Muhammad, Zhang, Tao, Khan, Sajid Ullah, Albanyan, Abdullah, Siddiqui, Fazeela, Iqbal, Yasir, Zhao, Xin, Geng, Yanzhang

“…Airport security is still a main concern for assuring passenger safety and stopping illegal activity. Dual-energy X-ray Imaging (DEXI) is one of the most…”
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Comparative analysis of machine learning and deep learning algorithms for knee arthritis detection using YOLOv8 models Autor Cinar, Ilkay

“…Knee arthritis is a prevalent joint condition that affects many people worldwide. Early detection and appropriate treatment are essential to slow the disease's…”
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Multi-axis transformer based U-Net with class balanced ensemble model for lung disease classification using X-ray images Autor Maruthai, Suresh, Thanarajan, Tamilvizhi, Ramesh, T, Rajendran, Surendran

“…Chest X-rays are an essential diagnostic tool for identifying chest disorders because of its high sensitivity in detecting pathological anomalies in the lungs…”
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Screening of COVID-19 based on the extracted radiomics features from chest CT images Autor Rezaeijo, Seyed Masoud, Abedi-Firouzjah, Razzagh, Ghorvei, Mohammadreza, Sarnameh, Samad

“…Radiomics has been widely used in quantitative analysis of medical images for disease diagnosis and prognosis assessment. The objective of this study is to…”
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Promptable segmentation of CT lung lesions based on improved U-Net and Segment Anything model (SAM) Autor Yan, Wensong, Xu, Yunhua, Yan, Shiju

“…BackgroundComputed tomography (CT) is widely used in clinical diagnosis of lung diseases. The automatic segmentation of lesions in CT images aids in the…”
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A directional relative TV algorithm for sparse-view CT reconstruction Autor Wang, Yanan, Wang, Yu, Liu, Peng, Fang, Chenyun, Zhang, Yanjun, Yang, Ruotong, Qiao, Zhiwei

“…Computed tomography (CT) is a widely used medical imaging modality, but its radiation exposure poses potential risks to human health. Sparse-view scanning has…”
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