AIMC Topic: Datasets as Topic

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A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.

BMC medical imaging Nov 24, 2021
BACKGROUND: Most existing algorithms have been focused on the segmentation from several public Liver CT datasets scanned regularly (no pneumoperitoneum and horizontal supine position). This study primarily segmented datasets with unconventional liver...
Imaging, Three-Dimensional Contrast Media Liver Swine Liver Neoplasms Radiographic Image Interpretation, Computer-Assisted Humans Datasets as Topic Machine Learning Pneumoperitoneum Tomography, X-Ray Computed Animals
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UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients.

BMC medical imaging Nov 22, 2021
BACKGROUND: With the rapid spread of COVID-19 worldwide, quick screening for possible COVID-19 patients has become the focus of international researchers. Recently, many deep learning-based Computed Tomography (CT) image/X-ray image fast screening mo...
Deep Learning Image Processing, Computer-Assisted Datasets as Topic Tomography, X-Ray Computed Humans SARS-CoV-2 COVID-19 Algorithms
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Functional selectivity for social interaction perception in the human superior temporal sulcus during natural viewing.

NeuroImage Nov 17, 2021
Recognizing others' social interactions is a crucial human ability. Using simple stimuli, previous studies have shown that social interactions are selectively processed in the superior temporal sulcus (STS), but prior work with movies has suggested t...
Humans Machine Learning Female Adult Male Theory of Mind Image Processing, Computer-Assisted Magnetic Resonance Imaging Datasets as Topic Brain Mapping Social Interaction Temporal Lobe Motion Pictures
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Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images.

BMC medical imaging Nov 13, 2021
BACKGROUND: The 3D U-Net model has been proved to perform well in the automatic organ segmentation. The aim of this study is to evaluate the feasibility of the 3D U-Net algorithm for the automated detection and segmentation of lymph nodes (LNs) on pe...
Datasets as Topic Diffusion Magnetic Resonance Imaging Prostatic Neoplasms Pelvis Feasibility Studies Male Lymphatic Metastasis Humans Neural Networks, Computer Retrospective Studies Aged
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Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism.

BMC medical imaging Nov 12, 2021
BACKGROUND: A novel multi-level pyramidal pooling residual U-Net with adversarial mechanism was proposed for organ segmentation from medical imaging, and was conducted on the challenging NIH Pancreas-CT dataset.
Humans Neural Networks, Computer Tomography, X-Ray Computed Contrast Media Datasets as Topic Pancreas
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Characteristics of publicly available skin cancer image datasets: a systematic review.

The Lancet. Digital health Nov 9, 2021
Publicly available skin image datasets are increasingly used to develop machine learning algorithms for skin cancer diagnosis. However, the total number of datasets and their respective content is currently unclear. This systematic review aimed to id...
Dermoscopy Datasets as Topic Humans Machine Learning Skin Neoplasms
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DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine.

Scientific reports Nov 9, 2021
Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic data generated to represent re...
Humans Neural Networks, Computer Computer Simulation Datasets as Topic Electrocardiography Privacy
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Fully automated segmentation in temporal bone CT with neural network: a preliminary assessment study.

BMC medical imaging Nov 9, 2021
BACKGROUND: Segmentation of important structures in temporal bone CT is the basis of image-guided otologic surgery. Manual segmentation of temporal bone CT is time- consuming and laborious. We assessed the feasibility and generalization ability of a ...
Tomography, X-Ray Computed Humans Datasets as Topic Image Processing, Computer-Assisted Neural Networks, Computer Temporal Bone Surgery, Computer-Assisted
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A clinical specific BERT developed using a huge Japanese clinical text corpus.

PloS one Nov 9, 2021
Generalized language models that are pre-trained with a large corpus have achieved great performance on natural language tasks. While many pre-trained transformers for English are published, few models are available for Japanese text, especially in c...
Datasets as Topic Social Media Language Natural Language Processing Hospitals Japan
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Chemometric analysis in Raman spectroscopy from experimental design to machine learning-based modeling.

Nature protocols Nov 5, 2021
Raman spectroscopy is increasingly being used in biology, forensics, diagnostics, pharmaceutics and food science applications. This growth is triggered not only by improvements in the computational and experimental setups but also by the development ...
Mice Humans Calibration Spectrum Analysis, Raman Machine Learning Reference Standards Principal Component Analysis Models, Statistical Animals Chemometrics Data Interpretation, Statistical Datasets as Topic
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