Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …
prevalence in natural language processing or computer vision. Since medical imaging bear …
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 …
Application of artificial intelligence in lung cancer
Simple Summary Lung cancer is the leading cause of malignancy-related mortality
worldwide. AI has the potential to help to treat lung cancer from detection, diagnosis and …
worldwide. AI has the potential to help to treat lung cancer from detection, diagnosis and …
Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
Pre-training in medical data: A survey
Medical data refers to health-related information associated with regular patient care or as
part of a clinical trial program. There are many categories of such data, such as clinical …
part of a clinical trial program. There are many categories of such data, such as clinical …
Self-supervised learning of neighborhood embedding for longitudinal MRI
In recent years, several deep learning models recommend first to represent Magnetic
Resonance Imaging (MRI) as latent features before performing a downstream task of interest …
Resonance Imaging (MRI) as latent features before performing a downstream task of interest …
A comprehensive review of computer-aided diagnosis of pulmonary nodules based on computed tomography scans
Lung cancer is one of the malignant tumor diseases with the fastest increase in morbidity
and mortality, which poses a great threat to human health. Low-Dose Computed …
and mortality, which poses a great threat to human health. Low-Dose Computed …
Multi-modal evolutionary deep learning model for ovarian cancer diagnosis
Ovarian cancer (OC) is a common reason for mortality among women. Deep learning has
recently proven better performance in predicting OC stages and subtypes. However, most of …
recently proven better performance in predicting OC stages and subtypes. However, most of …
Ovary cancer diagnosing empowered with machine learning
A high mortality rate is associated with ovarian cancer, one of the most common types of
cancers in women. Ovarian cancer refers to a group of disorders that develop in the ovaries …
cancers in women. Ovarian cancer refers to a group of disorders that develop in the ovaries …
Time-distanced gates in long short-term memory networks
Abstract The Long Short-Term Memory (LSTM) network is widely used in modeling
sequential observations in fields ranging from natural language processing to medical …
sequential observations in fields ranging from natural language processing to medical …