Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Radiomics in medical imaging: pitfalls and challenges in clinical management
Background Radiomics and radiogenomics are two words that recur often in language of
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …
[HTML][HTML] Radiomics in lung diseases imaging: state-of-the-art for clinicians
Artificial intelligence (AI) has increasingly been serving the field of radiology over the last 50
years. As modern medicine is evolving towards precision medicine, offering personalized …
years. As modern medicine is evolving towards precision medicine, offering personalized …
[HTML][HTML] A deep learning system to screen novel coronavirus disease 2019 pneumonia
X Xu, X Jiang, C Ma, P Du, X Li, S Lv, L Yu, Q Ni… - Engineering, 2020 - Elsevier
The real-time reverse transcription-polymerase chain reaction (RT-PCR) detection of viral
RNA from sputum or nasopharyngeal swab had a relatively low positive rate in the early …
RNA from sputum or nasopharyngeal swab had a relatively low positive rate in the early …
Coronavirus (covid-19) classification using ct images by machine learning methods
This study presents early phase detection of Coronavirus (COVID-19), which is named by
World Health Organization (WHO), by machine learning methods. The detection process …
World Health Organization (WHO), by machine learning methods. The detection process …
Dual-sampling attention network for diagnosis of COVID-19 from community acquired pneumonia
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has
infected more than 1,436,000 people in more than 200 countries and territories as of April 9 …
infected more than 1,436,000 people in more than 200 countries and territories as of April 9 …
An efficient deep learning approach to pneumonia classification in healthcare
This study proposes a convolutional neural network model trained from scratch to classify
and detect the presence of pneumonia from a collection of chest X‐ray image samples …
and detect the presence of pneumonia from a collection of chest X‐ray image samples …
A transfer learning method with deep residual network for pediatric pneumonia diagnosis
G Liang, L Zheng - Computer methods and programs in biomedicine, 2020 - Elsevier
Abstract Background and Objective Computer aided diagnosis systems based on deep
learning and medical imaging is increasingly becoming research hotspots. At the moment …
learning and medical imaging is increasingly becoming research hotspots. At the moment …
Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
We develop an algorithm that can detect pneumonia from chest X-rays at a level exceeding
practicing radiologists. Our algorithm, CheXNet, is a 121-layer convolutional neural network …
practicing radiologists. Our algorithm, CheXNet, is a 121-layer convolutional neural network …
Learning to diagnose from scratch by exploiting dependencies among labels
L Yao, E Poblenz, D Dagunts, B Covington… - arxiv preprint arxiv …, 2017 - arxiv.org
The field of medical diagnostics contains a wealth of challenges which closely resemble
classical machine learning problems; practical constraints, however, complicate the …
classical machine learning problems; practical constraints, however, complicate the …
Coronavirus (COVID-19) classification using deep features fusion and ranking technique
COVID-19, which appeared towards the end of 2019, has become a huge threat to public
health. The solution to this threat, which is defined as a global epidemic by the World Health …
health. The solution to this threat, which is defined as a global epidemic by the World Health …