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Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions
Motivation Medical image analysis involves a series of tasks used to assist physicians in
qualitative and quantitative analyses of lesions or anatomical structures which can …
qualitative and quantitative analyses of lesions or anatomical structures which can …
Artificial intelligence in multiparametric magnetic resonance imaging: A review
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
MVFStain: multiple virtual functional stain histopathology images generation based on specific domain map**
To the best of our knowledge, artificial intelligence stain generation is an urgent requirement
for histopathology images. Pathological examinations usually only utilize hematoxylin and …
for histopathology images. Pathological examinations usually only utilize hematoxylin and …
Distraction-aware hierarchical learning for vascular structure segmentation in intravascular ultrasound images
Vascular structure segmentation in intravascular ultrasound (IVUS) images plays an
important role in pre-procedural evaluation of percutaneous coronary intervention (PCI) …
important role in pre-procedural evaluation of percutaneous coronary intervention (PCI) …
Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents
Detecting Liver tumors without contrast agents (CAs) has shown great potential to advance
liver cancer screening. It enables the provision of a reliable liver tumor-detecting result from …
liver cancer screening. It enables the provision of a reliable liver tumor-detecting result from …
Reinforcement learning based diagnosis and prediction for COVID-19 by optimizing a mixed cost function from CT images
S Chen, M Liu, P Deng, J Deng, Y Yuan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
A novel coronavirus disease (COVID-19) is a pandemic disease has caused 4 million
deaths and more than 200 million infections worldwide (as of August 4, 2021). Rapid and …
deaths and more than 200 million infections worldwide (as of August 4, 2021). Rapid and …
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework
The use of multi-modality non-contrast images (ie, T1FS, T2FS and DWI) for segmenting
liver tumors provides a solution by eliminating the use of contrast agents and is crucial for …
liver tumors provides a solution by eliminating the use of contrast agents and is crucial for …
HDL: Hybrid deep learning for the synthesis of myocardial velocity maps in digital twins for cardiac analysis
Synthetic digital twins based on medical data accelerate the acquisition, labelling and
decision making procedure in digital healthcare. A core part of digital healthcare twins is …
decision making procedure in digital healthcare. A core part of digital healthcare twins is …