A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning
Y Gu, J Chi, J Liu, L Yang, B Zhang, D Yu… - Computers in biology …, 2021 - Elsevier
Lung cancer has one of the highest mortalities of all cancers. According to the National Lung
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …
Deep transfer learning based classification model for COVID-19 disease
The COVID-19 infection is increasing at a rapid rate, with the availability of limited number of
testing kits. Therefore, the development of COVID-19 testing kits is still an open area of …
testing kits. Therefore, the development of COVID-19 testing kits is still an open area of …
Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images
Lung abnormalities are highly risky conditions in humans. The early diagnosis of lung
abnormalities is essential to reduce the risk by enabling quick and efficient treatment. This …
abnormalities is essential to reduce the risk by enabling quick and efficient treatment. This …
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data
Lung cancer, also known as pulmonary cancer, is one of the deadliest cancers, but yet
curable if detected at the early stage. At present, the ambiguous features of the lung cancer …
curable if detected at the early stage. At present, the ambiguous features of the lung cancer …
Medklip: Medical knowledge enhanced language-image pre-training for x-ray diagnosis
In this paper, we consider enhancing medical visual-language pre-training (VLP) with
domain-specific knowledge, by exploiting the paired image-text reports from the radiological …
domain-specific knowledge, by exploiting the paired image-text reports from the radiological …
Attention residual learning for skin lesion classification
Automated skin lesion classification in dermoscopy images is an essential way to improve
the diagnostic performance and reduce melanoma deaths. Although deep convolutional …
the diagnostic performance and reduce melanoma deaths. Although deep convolutional …
Deep neural network correlation learning mechanism for CT brain tumor detection
Modern medical clinics support medical examinations with computer systems which use
Computational Intelligence on the way to detect potential health problems in more efficient …
Computational Intelligence on the way to detect potential health problems in more efficient …
[HTML][HTML] Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: a multicentre study
Purpose To develop a deep learning-based method to assist radiologists to fast and
accurately identify patients with COVID-19 by CT images. Methods We retrospectively …
accurately identify patients with COVID-19 by CT images. Methods We retrospectively …
Deep learning for lungs cancer detection: a review
Although lung cancer has been recognized to be the deadliest type of cancer, a good
prognosis and efficient treatment depend on early detection. Medical practitioners' burden is …
prognosis and efficient treatment depend on early detection. Medical practitioners' burden is …