Medical imaging and computational image analysis in COVID-19 diagnosis: A review
Abstract Coronavirus disease (COVID-19) is an infectious disease caused by a newly
discovered coronavirus. The disease presents with symptoms such as shortness of breath …
discovered coronavirus. The disease presents with symptoms such as shortness of breath …
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Abstract The novel coronavirus (COVID-19), has undoubtedly imprinted our lives with its
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
[HTML][HTML] Towards automated eye cancer classification via VGG and ResNet networks using transfer learning
DF Santos-Bustos, BM Nguyen, HE Espitia - Engineering Science and …, 2022 - Elsevier
Complex tasks such as disease diagnosis or semantic segmentation are now becoming
easier to tackle in part due to increasing advances in computing and storage. This study …
easier to tackle in part due to increasing advances in computing and storage. This study …
[Retracted] Lung Disease Classification in CXR Images Using Hybrid Inception‐ResNet‐v2 Model and Edge Computing
CM Sharma, L Goyal, VM Chariar… - Journal of Healthcare …, 2022 - Wiley Online Library
Chest X‐ray (CXR) imaging is one of the most widely used and economical tests to
diagnose a wide range of diseases. However, even for expert radiologists, it is a challenge …
diagnose a wide range of diseases. However, even for expert radiologists, it is a challenge …
Let AI perform better next time—a systematic review of medical imaging-based automated diagnosis of COVID-19: 2020–2022
F Liu, D Chen, X Zhou, W Dai, F Xu - Applied Sciences, 2022 - mdpi.com
The pandemic of COVID-19 has caused millions of infections, which has led to a great loss
all over the world, socially and economically. Due to the false-negative rate and the time …
all over the world, socially and economically. Due to the false-negative rate and the time …
Study on transfer learning capabilities for pneumonia classification in chest-x-rays images
Background: over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-
CoV-2) and its variants have highlighted the importance of screening tools with high …
CoV-2) and its variants have highlighted the importance of screening tools with high …
A smart LED therapy device with an automatic facial acne vulgaris diagnosis based on deep learning and internet of things application
In low-level laser therapy, providing an optimal dosage and proposing a proper diagnosis
before dermatological treatment are essential to reduce the side effects and potential …
before dermatological treatment are essential to reduce the side effects and potential …
A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans
Q Li, J Ning, J Yuan, L Xiao - Computers in Biology and Medicine, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) has caused more than 3 million deaths and
infected more than 170 million individuals all over the world. Rapid identification of patients …
infected more than 170 million individuals all over the world. Rapid identification of patients …
SSGCN: a sampling sequential guided graph convolutional network
Graph convolutional networks (GCNs) have become one of the important technologies for
solving graph structured data problems. GCNs utilize convolutional networks to learn node …
solving graph structured data problems. GCNs utilize convolutional networks to learn node …
Deviation-support based fuzzy ensemble of multi-modal deep learning classifiers for breast cancer prognosis prediction
Breast cancer is the fifth leading cause of death in females worldwide. Early detection and
treatment are crucial for improving health outcomes and preventing more serious conditions …
treatment are crucial for improving health outcomes and preventing more serious conditions …