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   Articles with "cnn" as a keyword



Attention Mask R‐CNN with edge refinement algorithm for identifying circulating genetically abnormal cells

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recommendations! Published in 2022 at "Cytometry Part A"

DOI: 10.1002/cyto.a.24682

Abstract: Recent studies have suggested that circulating tumor cells with abnormalities in gene copy numbers in mononuclear cell‐enriched peripheral blood samples, such as circulating genetically abnormal cells (CACs), can be used as a non‐invasive tool to… read more here.

Keywords: cell; cnn; abnormal cells; mask cnn ... See more keywords

IGF‐CNN: An Optimized Deep Learning Model for Covid‐19 Classification

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recommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70247

Abstract: Recent advancements in deep learning and the utilization of pre‐trained convolutional neural network (CNN) architectures have led to enhancements in classification tasks. However, these architectures often entail millions of training parameters, posing challenges for real‐world… read more here.

Keywords: deep learning; classification; cnn; cnn optimized ... See more keywords

Generating synthetic CTs from magnetic resonance images using generative adversarial networks

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recommendations! Published in 2018 at "Medical Physics"

DOI: 10.1002/mp.13047

Abstract: PURPOSE While MR-only treatment planning using synthetic CTs (synCTs) offers potential for streamlining clinical workflow, a need exists for an efficient and automated synCT generation in the brain to facilitate near real-time MR-only planning. This… read more here.

Keywords: generative adversarial; adversarial networks; model; synthetic cts ... See more keywords

A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning.

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recommendations! Published in 2019 at "Medical physics"

DOI: 10.1002/mp.13495

Abstract: PURPOSE This study suggests a lifelong learning-based convolutional neural network (LL-CNN) algorithm as a superior alternative to single-task learning approaches for automatic segmentation of head and neck (OARs) organs at risk. METHODS AND MATERIALS Lifelong… read more here.

Keywords: lifelong learning; network; head neck; cnn ... See more keywords

Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction.

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recommendations! Published in 2022 at "Medical physics"

DOI: 10.1002/mp.16103

Abstract: BACKGROUND Motion-compensated (MoCo) reconstruction shows great promise in improving four-dimensional cone-beam computed tomography (4D-CBCT) image quality. MoCo reconstruction for a 4D-CBCT could be more accurate using motion information at the CBCT imaging time than that… read more here.

Keywords: cbct images; cnn; motion; reconstruction ... See more keywords

A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks

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recommendations! Published in 2022 at "United European Gastroenterology Journal"

DOI: 10.1002/ueg2.12233

Abstract: Abstract Background and aims Seattle protocol biopsies for Barrett's Esophagus (BE) surveillance are labour intensive with low compliance. Dysplasia detection rates vary, leading to missed lesions. This can potentially be offset with computer aided detection.… read more here.

Keywords: barrett esophagus; neural networks; intelligence system; cnn ... See more keywords
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A deep learning approach to automatically quantify lower extremity alignment in children

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recommendations! Published in 2021 at "Skeletal Radiology"

DOI: 10.1007/s00256-021-03844-2

Abstract: To develop and validate a convolutional neural network (CNN) capable of predicting the anatomical landmarks used to calculate the hip-knee-ankle angles (HKAAs) from radiographs and thereby quantify lower extremity alignments in children. A search of… read more here.

Keywords: lower extremity; extremity; extremity alignment; quantify lower ... See more keywords

Evaluation of a novel deep learning–based classifier for perifissural nodules

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recommendations! Published in 2020 at "European Radiology"

DOI: 10.1007/s00330-020-07509-x

Abstract: To evaluate the performance of a novel convolutional neural network (CNN) for the classification of typical perifissural nodules (PFN). Chest CT data from two centers in the UK and The Netherlands (1668 unique nodules, 1260… read more here.

Keywords: agreement; reader; pfns; perifissural nodules ... See more keywords

Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups

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recommendations! Published in 2025 at "European Radiology"

DOI: 10.1007/s00330-024-11256-8

Abstract: Incidentally detected pulmonary nodules present a challenge in clinical routine with demand for reliable support systems for risk classification. We aimed to evaluate the performance of the lung-cancer-prediction-convolutional-neural-network (LCP-CNN), a deep learning-based approach, in comparison… read more here.

Keywords: cnn; lung; risk; lcp cnn ... See more keywords

Stress detection based EEG under varying cognitive tasks using convolution neural network

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recommendations! Published in 2025 at "Neural Computing and Applications"

DOI: 10.1007/s00521-024-10737-7

Abstract: One tool for promoting mental health is human stress detection through multitasks of electroencephalography (EEG) recordings. This study proposed a short-term stress detection approach using VGGish as a feature extraction and convolution neural network (CNN)… read more here.

Keywords: cnn; stress detection; based eeg; stress ... See more keywords

A novel W13 deep CNN structure for improved semantic segmentation of multiple objects in remote sensing imagery

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recommendations! Published in 2025 at "Neural Computing and Applications"

DOI: 10.1007/s00521-024-10765-3

Abstract: This paper proposes a novel convolutional neural network (CNN) architecture designed for semantic segmentation in remote sensing images. The proposed W13 Net model addresses the inherent challenges of segmentation tasks through a carefully crafted architecture,… read more here.

Keywords: w13 net; cnn; segmentation; remote sensing ... See more keywords