AIMC Journal:
Medical & biological engineering & computing

Showing 231 to 240 of 330 articles

Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification.

Medical & biological engineering & computing Jan 25, 2021
Deep learning (DL) has been successfully applied to the diagnosis of ophthalmic diseases. However, rare diseases are commonly neglected due to insufficient data. Here, we demonstrate that few-shot learning (FSL) using a generative adversarial network...
Rare Diseases Feasibility Studies Retinal Diseases Humans Deep Learning Neural Networks, Computer Tomography, Optical Coherence
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Computer-aided diagnosis based on hand thermal, RGB images, and grip force using artificial intelligence as screening tool for rheumatoid arthritis in women.

Medical & biological engineering & computing Jan 8, 2021
Rheumatoid arthritis (RA) is an autoimmune disorder that typically affects people between 23 and 60 years old causing chronic synovial inflammation, symmetrical polyarthritis, destruction of large and small joints, and chronic disability. Clinical di...
Hand Strength Hand Artificial Intelligence Computers Female Arthritis, Rheumatoid Humans
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Human locomotion with reinforcement learning using bioinspired reward reshaping strategies.

Medical & biological engineering & computing Jan 8, 2021
Recent learning strategies such as reinforcement learning (RL) have favored the transition from applied artificial intelligence to general artificial intelligence. One of the current challenges of RL in healthcare relates to the development of a cont...
Humans Artificial Intelligence Reward Locomotion Reinforcement, Psychology Learning Adult
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Lung cancer histology classification from CT images based on radiomics and deep learning models.

Medical & biological engineering & computing Jan 7, 2021
Adenocarcinoma (AC) and squamous cell carcinoma (SCC) are frequent reported cases of non-small cell lung cancer (NSCLC), responsible for a large fraction of cancer deaths worldwide. In this study, we aim to investigate the potential of NSCLC histolog...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer
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Over-fitting suppression training strategies for deep learning-based atrial fibrillation detection.

Medical & biological engineering & computing Jan 2, 2021
Nowadays, deep learning-based models have been widely developed for atrial fibrillation (AF) detection in electrocardiogram (ECG) signals. However, owing to the inevitable over-fitting problem, classification accuracy of the developed models severely...
Electrocardiography Atrial Fibrillation Databases, Factual Deep Learning Neural Networks, Computer Humans Algorithms
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Quantitative analysis of blood cells from microscopic images using convolutional neural network.

Medical & biological engineering & computing Jan 1, 2021
Blood cell count provides relevant clinical information about different kinds of disorders. Any deviation in the number of blood cells implies the presence of infection, inflammation, edema, bleeding, and other blood-related issues. Current microscop...
Microscopy Blood Cells Erythrocyte Count Neural Networks, Computer Image Processing, Computer-Assisted
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A convolutional neural network-based learning approach to acute lymphoblastic leukaemia detection with automated feature extraction.

Medical & biological engineering & computing Nov 6, 2020
Leukaemia is a type of blood cancer which mainly occurs when bone marrow produces excess white blood cells in our body. This disease not only affects adult but also is a common cancer type among children. Treatment of leukaemia depends on its type an...
Precursor Cell Lymphoblastic Leukemia-Lymphoma Databases, Factual Humans Leukocytes Neural Networks, Computer
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Fast body part segmentation and tracking of neonatal video data using deep learning.

Medical & biological engineering & computing Oct 23, 2020
Photoplethysmography imaging (PPGI) for non-contact monitoring of preterm infants in the neonatal intensive care unit (NICU) is a promising technology, as it could reduce medical adhesive-related skin injuries and associated complications. For practi...
Humans Infant, Newborn Image Processing, Computer-Assisted Photoplethysmography Infant Infant, Premature Video Recording Deep Learning Human Body
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Self-evoluting framework of deep convolutional neural network for multilocus protein subcellular localization.

Medical & biological engineering & computing Oct 20, 2020
In the present paper, deep convolutional neural network (DCNN) is applied to multilocus protein subcellular localization as it is more suitable for multi-class classification. There are two main problems with this application. First, the appropriate ...
Algorithms Databases, Factual Support Vector Machine Proteins Humans Neural Networks, Computer
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A machine learning approach for magnetic resonance image-based mouse brain modeling and fast computation in controlled cortical impact.

Medical & biological engineering & computing Sep 21, 2020
Computational modeling of the brain is crucial for the study of traumatic brain injury. An anatomically accurate model with refined details could provide the most accurate computational results. However, computational models with fine mesh details co...
Animals Mice, Inbred C57BL Magnetic Resonance Imaging Brain Image Processing, Computer-Assisted Brain Injuries Neural Networks, Computer Computer Simulation Machine Learning Finite Element Analysis
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