AIMC Topic: Humans

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Generalization of Deep Learning Gesture Classification in Robotic-Assisted Surgical Data: From Dry Lab to Clinical-Like Data.

IEEE journal of biomedical and health informatics Mar 7, 2022
OBJECTIVE: Robotic-assisted minimally invasive surgery (RAMIS) became a common practice in modern medicine and is widely studied. Surgical procedures require prolonged and complex movements; therefore, classifying surgical gestures could be helpful t...
Deep Learning Minimally Invasive Surgical Procedures Gestures Humans Robotic Surgical Procedures Algorithms
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A Cloud Approach for Melanoma Detection Based on Deep Learning Networks.

IEEE journal of biomedical and health informatics Mar 7, 2022
In the era of digitized images, the goal is to extract information from them and create new knowledge thanks to Computer Vision techniques, Machine Learning and Deep Learning. This enables the use of images for early diagnosis and subsequent treatmen...
Deep Learning Machine Learning Melanoma Humans Neural Networks, Computer
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Deep Learning-Based Phenotypic Assessment of Red Cell Storage Lesions for Safe Transfusions.

IEEE journal of biomedical and health informatics Mar 7, 2022
This study presents a novel approach to automatically perform instant phenotypic assessment of red blood cell (RBC) storage lesion in phase images obtained by digital holographic microscopy. The proposed model combines a generative adversarial networ...
Neural Networks, Computer Aging Deep Learning Image Processing, Computer-Assisted Humans Erythrocytes Holography
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Application of a Deep-Learning Technique to Non-Linear Images From Human Tissue Biopsies for Shedding New Light on Breast Cancer Diagnosis.

IEEE journal of biomedical and health informatics Mar 7, 2022
The development of label-free non-destructive techniques to be used as diagnostic tools in cancer research is of great importance for improving the quality of life for millions of patients. Previous studies have demonstrated that Third Harmonic Gener...
Breast Breast Neoplasms Humans Quality of Life Female Deep Learning Biopsy
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Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation.

IEEE journal of biomedical and health informatics Mar 7, 2022
Accurate segmentation of the Intracranial Hemorrhage (ICH) in non-contrast CT images is significant for computer-aided diagnosis. Although existing methods have achieved remarkable 1 1 The code will be available from https://github.com/JohnleeHIT/SLE...
Image Processing, Computer-Assisted Hematoma Intracranial Hemorrhages Uncertainty Humans Neural Networks, Computer
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A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels.

IEEE journal of biomedical and health informatics Mar 7, 2022
In this paper, we introduce a new variation of the Convolutional Neural Network Inception block, called Sinc, for sleep stage classification in premature newborn babies using electroencephalogram (EEG). In practice, there are many medical centres whe...
Algorithms Infant, Newborn Humans Neural Networks, Computer Sleep Stages Electroencephalography Sleep
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Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System.

IEEE journal of biomedical and health informatics Mar 7, 2022
In the healthcare research community, Internet of Medical Things (IoMT) is transforming the healthcare system into the world of the future internet. In IoMT enabled Computer aided diagnosis (CAD) system, the Health-related information is stored via t...
Humans Brain Neoplasms Algorithms Neural Networks, Computer Brain Machine Learning
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Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.

IEEE journal of biomedical and health informatics Mar 7, 2022
Pneumonia is one of the most common treatable causes of death, and early diagnosis allows for early intervention. Automated diagnosis of pneumonia can therefore improve outcomes. However, it is challenging to develop high-performance deep learning mo...
X-Rays Pneumonia Early Diagnosis Humans Tomography, X-Ray Computed Deep Learning
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Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.

IEEE journal of biomedical and health informatics Mar 7, 2022
Deformable medical image registration estimates corresponding deformation to align the regions of interest (ROIs) of two images to a same spatial coordinate system. However, recent unsupervised registration models only have correspondence ability wit...
Humans Unsupervised Machine Learning Perception Algorithms Image Processing, Computer-Assisted
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Establishment of a Combined Diagnostic Model of Abdominal Aortic Aneurysm with Random Forest and Artificial Neural Network.

BioMed research international Mar 7, 2022
OBJECTIVES: Abdominal aortic aneurysm (AAA), a disease with high mortality, is limited by the current diagnostic methods in the early screening. This study aimed to screen novel and significant biomarkers and construct a diagnostic model for AAA by u...
Databases, Genetic Aortic Aneurysm, Abdominal Humans Metabolic Networks and Pathways Neural Networks, Computer Gene Ontology Diagnosis, Computer-Assisted
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