Multi-task deep learning for medical image computing and analysis: A review
The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …
conventional deep learning models are constructed for a single specific task, multi-task deep …
AI-Based human audio processing for COVID-19: A comprehensive overview
Abstract The Coronavirus (COVID-19) pandemic impelled several research efforts, from
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …
large amount of data to achieve exceptional performance. Unfortunately, many applications …
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
G Chassagnon, M Vakalopoulou, E Battistella… - Medical image …, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) emerged in 2019 and disseminated around
the world rapidly. Computed tomography (CT) imaging has been proven to be an important …
the world rapidly. Computed tomography (CT) imaging has been proven to be an important …
LDANet: Automatic lung parenchyma segmentation from CT images
Y Chen, L Feng, C Zheng, T Zhou, L Liu, P Liu… - Computers in Biology …, 2023 - Elsevier
Automatic segmentation of the lung parenchyma from computed tomography (CT) images is
helpful for the subsequent diagnosis and treatment of patients. In this paper, based on a …
helpful for the subsequent diagnosis and treatment of patients. In this paper, based on a …
Diagnosis of COVID-19 using machine learning and deep learning: a review
Background: This paper provides a systematic review of the application of Artificial
Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in …
Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in …
[HTML][HTML] Application of machine learning in CT images and X-rays of COVID-19 pneumonia
F Zhang - Medicine, 2021 - journals.lww.com
Abstract Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …
Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets
The coronavirus disease, called COVID-19, which is spreading fast worldwide since the end
of 2019, and has become a global challenging pandemic. Until 27th May 2020, it caused …
of 2019, and has become a global challenging pandemic. Until 27th May 2020, it caused …
Contour-enhanced attention CNN for CT-based COVID-19 segmentation
Accurate detection of COVID-19 is one of the challenging research topics in today's
healthcare sector to control the coronavirus pandemic. Automatic data-powered insights for …
healthcare sector to control the coronavirus pandemic. Automatic data-powered insights for …
Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …