AIMC Topic: Benchmarking

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A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images.

Scientific reports Mar 18, 2021
The mitotic activity index is a key prognostic measure in tumour grading. Microscopy based detection of mitotic nuclei is a significant overhead and necessitates automation. This work proposes deep CNN based multi-phase mitosis detection framework "M...
Humans Neural Networks, Computer Benchmarking Datasets as Topic Automation Cell Nucleus Female Breast Neoplasms Image Processing, Computer-Assisted Neoplasm Grading Mitosis Mitotic Index
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Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy Patients.

Journal of the American College of Surgeons Mar 8, 2021
BACKGROUND: The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) tool is an artificial intelligence-based calculator for the prediction of 30-day outcomes in patients undergoing emergency operations. In this study, we sought to assess the ...
Aged Emergency Treatment Adult Artificial Intelligence Male Databases, Factual Humans Emergency Service, Hospital Middle Aged Female Benchmarking Risk Factors Risk Assessment Feasibility Studies Postoperative Complications Laparotomy Hospital Mortality Decision Trees
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Accurate surface ultraviolet radiation forecasting for clinical applications with deep neural network.

Scientific reports Mar 3, 2021
Exposure to appropriate doses of UV radiation provides enormously health and medical treatment benefits including psoriasis. Typical hospital-based phototherapy cabinets contain a bunch of artificial lamps, either broad-band (main emission spectrum 2...
Humans Deep Learning Psoriasis Radiometry Sunlight Heliotherapy Ultraviolet Therapy Benchmarking Ultraviolet Rays Datasets as Topic Radiation Dosage
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Exploring the Relationship Between EMG Feature Space Characteristics and Control Performance in Machine Learning Myoelectric Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 25, 2021
In myoelectric machine learning (ML) based control, it has been demonstrated that control performance usually increases with training, but it remains largely unknown which underlying factors govern these improvements. It has been suggested that the i...
Benchmarking Humans Linear Models Machine Learning Electromyography
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Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction.

Proteins Feb 16, 2021
Deep learning has emerged as a revolutionary technology for protein residue-residue contact prediction since the 2012 CASP10 competition. Considerable advancements in the predictive power of the deep learning-based contact predictions have been achie...
Protein Interaction Domains and Motifs Protein Conformation Binding Sites Sequence Alignment Proteins Research Design Humans Sequence Analysis, Protein Databases, Protein Deep Learning Software Benchmarking Protein Binding Computational Biology
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Fast and precise single-cell data analysis using a hierarchical autoencoder.

Nature communications Feb 15, 2021
A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount of data and the excess noise level. To address this challenge, we introduce an analysis framework, named single-cell Decomposition using Hierarchical ...
Embryo, Mammalian Animals Pancreas Lung Zygote Humans Sequence Analysis, RNA Single-Cell Analysis Cell Separation Mouse Embryonic Stem Cells Benchmarking Neural Networks, Computer Liver Mice Visual Cortex Retina Unsupervised Machine Learning Cerebellum Bayes Theorem
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Toward data-efficient learning: A benchmark for COVID-19 CT lung and infection segmentation.

Medical physics Feb 6, 2021
PURPOSE: Accurate segmentation of lung and infection in COVID-19 computed tomography (CT) scans plays an important role in the quantitative management of patients. Most of the existing studies are based on large and private annotated datasets that ar...
Humans Machine Learning COVID-19 Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Benchmarking
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Task Similarity Estimation Through Adversarial Multitask Neural Network.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Multitask learning (MTL) aims at solving the related tasks simultaneously by exploiting shared knowledge to improve performance on individual tasks. Though numerous empirical results supported the notion that such shared knowledge among tasks plays a...
Electronic Data Processing Image Processing, Computer-Assisted Humans Benchmarking Neural Networks, Computer Data Mining Machine Learning Alzheimer Disease Algorithms
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Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade recognition is a challenging problem for radiologists in health monitoring and automated diagnosis. Recently, numerous methods based on deep learning have been pres...
Humans Neural Networks, Computer Magnetic Resonance Imaging Artificial Intelligence Delivery of Health Care Radiologists Deep Learning Benchmarking Prospective Studies Surveys and Questionnaires Transfer, Psychology Tomography, X-Ray Computed Image Processing, Computer-Assisted Brain Neoplasms
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Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Person re-identification (re-ID) favors discriminative representations over unseen shots to recognize identities in disjoint camera views. Effective methods are developed via pair-wise similarity learning to detect a fixed set of region features, whi...
Automated Facial Recognition Biometric Identification Image Processing, Computer-Assisted Benchmarking Attention Humans Neural Networks, Computer Artificial Intelligence Software Algorithms Databases, Factual Reproducibility of Results Deep Learning
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