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Generative adversarial network based regularized image reconstruction for PET.
Physics in medicine and biology
Jun 23, 2020
Positron emission tomography (PET) is an ill-posed inverse problem and suffers high noise due to limited number of detected events. Prior information can be used to improve the quality of reconstructed PET images. Deep neural networks have also been ...
Precise automatic classification of 46 different pollen types with convolutional neural networks.
PloS one
Jun 23, 2020
In palynology, the visual classification of pollen grains from different species is a hard task which is usually tackled by human operators using microscopes. Many industries, including medical and pharmaceutical, rely on the accuracy of this manual ...
Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans.
Medical & biological engineering & computing
Jun 21, 2020
Automatic and reliable prostate segmentation is an essential prerequisite for assisting the diagnosis and treatment, such as guiding biopsy procedure and radiation therapy. Nonetheless, automatic segmentation is challenging due to the lack of clear p...
Multilevel approach to male fertility by machine learning highlights a hidden link between haematological and spermatogenetic cells.
Andrology
Jun 21, 2020
BACKGROUND: Male infertility represents a complex clinical condition requiring an accurate multilevel assessment, in which machine learning technology, combining large data series in non-linear and highly interactive ways, could be innovatively appli...
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks.
Neural networks : the official journal of the International Neural Network Society
Jun 20, 2020
Recently, transfer learning has been receiving growing interests in machinery fault diagnosis due to its strong generalization across different industrial scenarios. The existing methods generally assume identical label spaces, and propose minimizing...
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing.
International journal of computer assisted radiology and surgery
Jun 18, 2020
PURPOSE: In the field of medical image analysis, deep learning methods gained huge attention over the last years. This can be explained by their often improved performance compared to classic explicit algorithms. In order to work well, they need larg...
Optimal length of R-R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning.
Biomedical engineering online
Jun 16, 2020
BACKGROUND: Heartbeat interval Lorenz plot (LP) imaging is a promising method for detecting atrial fibrillation (AF) in long-term monitoring, but the optimal segment window length for the LP images is unknown. We examined the performance of AF detect...
Artificial Intelligence Medical Ultrasound Equipment: Application of Breast Lesions Detection.
Ultrasonic imaging
Jun 16, 2020
Breast cancer ranks first among cancers affecting women's health. Our work aims to realize the intelligence of the medical ultrasound equipment with limited computational capability, which is used for the assistant detection of breast lesions. We emb...
Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading.
Virchows Archiv : an international journal of pathology
Jun 15, 2020
The International Society of Urological Pathology (ISUP) hosts a reference image database supervised by experts with the purpose of establishing an international standard in prostate cancer grading. Here, we aimed to identify areas of grading difficu...
Convolutional neural network for detection and classification of seizures in clinical data.
Medical & biological engineering & computing
Jun 12, 2020
Epileptic seizure detection and classification in clinical electroencephalogram data still is a challenge, and only low sensitivity with a high rate of false positives has been achieved with commercially available seizure detection tools, which usual...
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