AIMC Topic: Probability

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HGM-cNet: Integrating hippocampal gray matter probability map into a cascaded deep learning framework improves hippocampus segmentation.

European journal of radiology Mar 15, 2023
A robust cascaded deep learning framework with integrated hippocampal gray matter (HGM) probability map was developed to improve the hippocampus segmentation (called HGM-cNet) due to its significance in various neuropsychiatric disorders such as Alzh...
Deep Learning Image Processing, Computer-Assisted Aged, 80 and over Male Hippocampus Brain Diseases Gray Matter Magnetic Resonance Imaging Probability Humans Female Aged Neural Networks, Computer
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Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images.

Physics in medicine and biology Feb 23, 2023
 Tumor segmentation is a fundamental step for radiotherapy treatment planning. To define an accurate segmentation of the primary tumor (GTVp) of oropharyngeal cancer patients (OPC) each image volume is explored slice-by-slice from different orientati...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Oropharyngeal Neoplasms Head and Neck Neoplasms Probability Positron Emission Tomography Computed Tomography Fluorodeoxyglucose F18
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Impact of perinephric fat volume and the Mayo Adhesive Probability score on time to clamping in robot-assisted partial nephrectomy.

Journal of robotic surgery Feb 15, 2023
The aim of this study is to evaluate the association of perinephric fat volume (PNFV) and the Mayo Adhesive Probability (MAP) score with time to clamping (TTC) in robot-assisted partial nephrectomy (RAPN). The study subjects consisted of 73 tumors in...
Nephrectomy Treatment Outcome Constriction Humans Robotics Probability Robotic Surgical Procedures Retrospective Studies Kidney Neoplasms
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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...
Probability Cell Shape Neural Networks, Computer 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 Research Design Sample Size Probability
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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 ...
Probability Arthroscopy Magnetic Resonance Imaging Multicenter Studies as Topic Rotator Cuff Machine Learning Retrospective Studies Cohort Studies Treatment Outcome Humans Artificial Intelligence
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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...
Time Perception Hand Neural Networks, Computer Probability Deep Learning
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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...
Probability Humans Pulmonary Disease, Chronic Obstructive Artificial Intelligence Lung 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...
Machine Learning Probability
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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...
Machine Learning Humans Research Design Clinical Trials as Topic Probability Eligibility Determination
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