AIMC Topic: Probability

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Classification of HEp-2 Staining Pattern Images Using Adapted Multilayer Perceptron Neural Network-Based Intra-Class Variation of Cell Shape.

Sensors (Basel, Switzerland) Feb 15, 2023
There exists a growing interest from the clinical practice research communities in the development of methods to automate HEp-2 stained cells classification procedure from histopathological images. Challenges faced by these methods include variations...
Neural Networks, Computer Cell Shape Probability Staining and Labeling
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Evaluation of a decided sample size in machine learning applications.

BMC bioinformatics Feb 14, 2023
BACKGROUND: An appropriate sample size is essential for obtaining a precise and reliable outcome of a study. In machine learning (ML), studies with inadequate samples suffer from overfitting of data and have a lower probability of producing true effe...
Machine Learning Sample Size Probability Research Design
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Developing a machine learning algorithm to predict probability of retear and functional outcomes in patients undergoing rotator cuff repair surgery: protocol for a retrospective, multicentre study.

BMJ open Feb 10, 2023
INTRODUCTION: The effectiveness of rotator cuff tear repair surgery is influenced by multiple patient-related, pathology-centred and technical factors, which is thought to contribute to the reported retear rates between 17% and 94%. Adequate patient ...
Treatment Outcome Magnetic Resonance Imaging Cohort Studies Arthroscopy Rotator Cuff Probability Multicenter Studies as Topic Artificial Intelligence Retrospective Studies Humans Machine Learning
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Fault-Level Grading of Photovoltaic Cells Employing Lightweight Deep Learning Models.

Computational intelligence and neuroscience Feb 7, 2023
The deployment of photovoltaic (PV) cells as a renewable energy resource has been boosted recently, which enhanced the need to develop an automatic and swift fault detection system for PV cells. Prior to isolation for repair or replacement, it is cri...
Neural Networks, Computer Probability Hand Deep Learning Time Perception
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Compressed Sensing Data with Performing Audio Signal Reconstruction for the Intelligent Classification of Chronic Respiratory Diseases.

Sensors (Basel, Switzerland) Jan 28, 2023
Chronic obstructive pulmonary disease (COPD) concerns the serious decline of human lung functions. These have emerged as one of the most concerning health conditions over the last two decades, after cancer around the world. The early diagnosis of COP...
Pulmonary Disease, Chronic Obstructive Probability Lung Humans Artificial Intelligence Machine Learning
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A Hybrid Generic Framework for Heart Problem Diagnosis Based on a Machine Learning Paradigm.

Sensors (Basel, Switzerland) Jan 26, 2023
The early, valid prediction of heart problems would minimize life threats and save lives, while lack of prediction and false diagnosis can be fatal. Addressing a single dataset alone to build a machine learning model for the identification of heart p...
Probability Machine Learning
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Improving clinical trial design using interpretable machine learning based prediction of early trial termination.

Scientific reports Jan 4, 2023
This study proposes using a machine learning pipeline to optimise clinical trial design. The goal is to predict early termination probability of clinical trials using machine learning modelling, and to understand feature contributions driving early t...
Eligibility Determination Clinical Trials as Topic Machine Learning Probability Research Design Humans
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FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation.

Computers in biology and medicine Jan 3, 2023
Thyroid nodules, a common disease of endocrine system, have a probability of nearly 10% to turn into malignant nodules and thus pose a serious threat to health. Automatic segmentation of thyroid nodules is of great importance for clinicopathological ...
Probability Image Processing, Computer-Assisted Tomography, X-Ray Computed Humans Neural Networks, Computer Thyroid Nodule Ultrasonography
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Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence.

PloS one Dec 15, 2022
Deep learning is notably successful in data analysis, computer vision, and human control. Nevertheless, this approach has inevitably allowed the development of DeepFake video sequences and images that could be altered so that the changes are not easi...
Neural Networks, Computer Probability Humans
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Optimal Underwater Acoustic Warfare Strategy Based on a Three-Layer GA-BP Neural Network.

Sensors (Basel, Switzerland) Dec 11, 2022
A defense platform is usually based on two methods to make underwater acoustic warfare strategy decisions. One is through Monte-Carlo method online simulation, which is slow. The other is by typical empirical (database) and typical back-propagation (...
Probability Acoustics Neural Networks, Computer Computer Simulation Algorithms
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