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
[HTML][HTML] Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods
This paper investigates the applications of explainable AI (XAI) in healthcare, which aims to
provide transparency, fairness, accuracy, generality, and comprehensibility to the results …
provide transparency, fairness, accuracy, generality, and comprehensibility to the results …
Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
Chest X-ray classification for the detection of COVID-19 using deep learning techniques
Recent technological developments pave the path for deep learning-based techniques to be
used in almost every domain of life. The precision of deep learning techniques make it …
used in almost every domain of life. The precision of deep learning techniques make it …
Design and analysis of a deep learning ensemble framework model for the detection of COVID-19 and pneumonia using large-scale CT scan and X-ray image …
Recently, various methods have been developed to identify COVID-19 cases, such as PCR
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
RADIC: A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
O Attallah - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
Deep learning (DL) algorithms have demonstrated a high ability to perform speedy and
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …
A Hybrid Deep Learning CNN model for COVID-19 detection from chest X-rays
Abstract Coronavirus disease (COVID-2019) is emerging in Wuhan, China in 2019. It has
spread throughout the world since the year 2020. Millions of people were affected and …
spread throughout the world since the year 2020. Millions of people were affected and …
RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases
Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung
diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more …
diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more …
Rethinking densely connected convolutional networks for diagnosing infectious diseases
Due to its high transmissibility, the COVID-19 pandemic has placed an unprecedented
burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a …
burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a …
Attention guided grad-CAM: an improved explainable artificial intelligence model for infrared breast cancer detection
K Raghavan, K v - Multimedia Tools and Applications, 2024 - Springer
Explainable artificial intelligence (XAI) can help build trust between AI models and
healthcare professionals in the context of medical image classification. XAI can help explain …
healthcare professionals in the context of medical image classification. XAI can help explain …
RETRACTED ARTICLE: FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices
Background Forests cover nearly one-third of the Earth's land and are some of our most
biodiverse ecosystems. Due to climate change, these essential habitats are endangered by …
biodiverse ecosystems. Due to climate change, these essential habitats are endangered by …