AIMC Topic: Algorithms

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A Self-Supervised Learning Based Framework for Eyelid Malignant Melanoma Diagnosis in Whole Slide Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
Eyelid malignant melanoma (MM) is a rare disease with high mortality. Accurate diagnosis of such disease is important but challenging. In clinical practice, the diagnosis of MM is currently performed manually by pathologists, which is subjective and ...
Eyelid Neoplasms Melanoma Humans Supervised Machine Learning Image Interpretation, Computer-Assisted Algorithms
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Progressive Feature Fusion Attention Dense Network for Speckle Noise Removal in OCT Images.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
Although deep learning for Big Data analytics has achieved promising results in the field of optical coherence tomography (OCT) image denoising, the low recognition rate caused by complex noise distribution and a large number of redundant features is...
Humans Retina Algorithms Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence
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Investigation of heat-induced pork batter quality detection and change mechanisms using Raman spectroscopy coupled with deep learning algorithms.

Food chemistry Aug 8, 2024
Pork batter quality significantly affects its product. Herein, this study explored the use of Raman spectroscopy combined with deep learning algorithms for rapidly detecting pork batter quality and revealing the mechanisms of quality changes during h...
Meat Products Quality Control Swine Hot Temperature Algorithms Deep Learning Animals Spectrum Analysis, Raman
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Infrared spectroscopy coupled with machine learning algorithms for predicting the detailed milk mineral profile in dairy cattle.

Food chemistry Aug 8, 2024
Milk minerals are not only essential components for human health, but they can be informative for milk quality and cow's health. Herein, we investigated the feasibility of Fourier Transformed mid Infrared (FTIR) spectroscopy for the prediction of a d...
Minerals Milk Machine Learning Algorithms Female Animals Cattle Spectroscopy, Fourier Transform Infrared
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Euclidean-Distance-Preserved Feature Reduction for efficient person re-identification.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Person Re-identification (Re-ID) aims to match person images across non-overlapping cameras. The existing approaches formulate this task as fine-grained representation learning with deep neural networks, which involves extracting image features using...
Principal Component Analysis Discriminant Analysis Biometric Identification Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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DCE-Qnet: deep network quantification of dynamic contrast enhanced (DCE) MRI.

Magma (New York, N.Y.) Aug 8, 2024
INTRODUCTION: Quantification of dynamic contrast-enhanced (DCE)-MRI has the potential to provide valuable clinical information, but robust pharmacokinetic modeling remains a challenge for clinical adoption.
Deep Learning Image Processing, Computer-Assisted Humans Contrast Media Neural Networks, Computer Reproducibility of Results Healthy Volunteers Algorithms Adult Image Enhancement Female Uterine Cervical Neoplasms Phantoms, Imaging Magnetic Resonance Imaging Cervix Uteri Least-Squares Analysis
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Improving ED admissions forecasting by using generative AI: An approach based on DGAN.

Computer methods and programs in biomedicine Aug 8, 2024
BACKGROUND AND OBJECTIVE: Generative Deep Learning has emerged in recent years as a significant player in the Artificial Intelligence field. Synthesizing new data while maintaining the features of reality has revolutionized the field of Deep Learning...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Deep Learning Forecasting Emergency Service, Hospital Reproducibility of Results Patient Admission
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Contrastive fine-grained domain adaptation network for EEG-based vigilance estimation.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Vigilance state is crucial for the effective performance of users in brain-computer interface (BCI) systems. Most vigilance estimation methods rely on a large amount of labeled data to train a satisfactory model for the specific subject, which limits...
Young Adult Adult Male Electroencephalography Signal Processing, Computer-Assisted Algorithms Brain-Computer Interfaces Brain Female Arousal Humans Neural Networks, Computer
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Joint computation offloading and resource allocation for end-edge collaboration in internet of vehicles via multi-agent reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Vehicular edge computing (VEC), a promising paradigm for the development of emerging intelligent transportation systems, can provide lower service latency for vehicular applications. However, it is still a challenge to fulfill the requirements of suc...
Neural Networks, Computer Algorithms Computer Simulation Transportation Resource Allocation Deep Learning Internet Reinforcement, Psychology
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Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Multi-focus image fusion (MFIF) is an important technique that aims to combine the focused regions of multiple source images into a fully clear image. Decision-map methods are widely used in MFIF to maximize the preservation of information from the s...
Humans Action Potentials Animals Neurons Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Models, Neurological
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