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   Articles with "densenet" as a keyword



Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.

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recommendations! Published in 2019 at "Medical physics"

DOI: 10.1002/mp.13553

Abstract: PURPOSE Image-guided radiotherapy provides images not only for patient positioning but also for online adaptive radiotherapy. Accurate delineation of organs-at-risk (OARs) on Head and Neck (H&N) CT and MR images is valuable to both initial… read more here.

Keywords: low field; network; shape; segmentation ... See more keywords

Grading of hepatocellular carcinoma using 3D SE-DenseNet in dynamic enhanced MR images

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recommendations! Published in 2019 at "Computers in biology and medicine"

DOI: 10.1016/j.compbiomed.2019.01.026

Abstract: BACKGROUND Clinical histological grading of hepatocellular carcinoma (HCC) differentiation is of great significance in clinical diagnoses, treatments, and prognoses. However, it is challenging for radiologists to evaluate HCC gradings from medical images. PURPOSE In this… read more here.

Keywords: hepatocellular carcinoma; hcc; hcc grading; dynamic enhanced ... See more keywords

An efficient attention Densenet with LSTM for lung disease detection and classification using X-ray images supported by adaptive R2-Unet-based image segmentation

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recommendations! Published in 2025 at "Archives of Physiology and Biochemistry"

DOI: 10.1080/13813455.2025.2524182

Abstract: Abstract Lung diseases represent one of the most prevalent health challenges globally, necessitating accurate diagnosis to improve patient outcomes. This work presents a novel deep learning-aided lung disease classification framework comprising three key phases: image… read more here.

Keywords: classification; densenet; lung; segmentation ... See more keywords

P-651. An Artiļ¬cial Intelligence Model Outperformed Experienced Clinicians in Differentiating the Aetiology of Pneumonia on Chest Computed Tomography: A Retrospective Study

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recommendations! Published in 2025 at "Open Forum Infectious Diseases"

DOI: 10.1093/ofid/ofae631.848

Abstract: Abstract Background Rapid and precise aetiological diagnosis is crucial for managing pneumonia. We aimed to develop and validate deep learning (DL) models for differentiating ten pneumonia aetiologies on chest computed tomography images. The area under… read more here.

Keywords: densenet; pneumonia; chest computed; radiologists pulmonologists ... See more keywords

S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2960315

Abstract: DenseNet has strong expressiveness in many computer vision tasks, but the complexity of its model makes it difficult to deploy to devices with limited computing resources. In this paper, we propose S-DenseNet, a compact model… read more here.

Keywords: compression; convolution; accuracy; densenet ... See more keywords

Augmenting DenseNet: Leveraging Multi-Scale Skip Connections for Effective Early-Layer Information Incorporation

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3460830

Abstract: The proliferation of Convolutional Neural Network-based applications in recent years has necessitated the development of effective strategies for information and gradient flow within a network. As networks become deeper, it has been observed that later… read more here.

Keywords: information; densenet; rate; multi scale ... See more keywords

A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3526476

Abstract: The accurate classification of aerial images is a crucial task in remote sensing, with applications ranging from land cover mapping and urban planning to disaster response and environmental monitoring. However, challenges such as limited labeled… read more here.

Keywords: densenet; segmentation; feature extraction; remote sensing ... See more keywords

DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3599319

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases affecting women worldwide. Early and accurate diagnosis is critical for effective treatment and improved patient outcomes. While histopathological image analysis plays a key role… read more here.

Keywords: classification; breast cancer; histopathology; densenet ... See more keywords

GLCII-DenseNet Integrated With Multiple Blocks for Waist Action Recognition Based on Surface Electromyographic Signals

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3562961

Abstract: As low-back pain prevalence rises, lumbar rehabilitation robots are becoming more common. By analyzing surface electromyographic (EMG) signals, lumbar movements can be recognized, enabling real-time feedback for personalized training. Deep learning methods are increasingly used… read more here.

Keywords: information; densenet; recognition; surface ... See more keywords

Multiscale DenseNet Meets With Bi-RNN for Hyperspectral Image Classification

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recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3187009

Abstract: Convolutional neural network (CNN) has been successfully introduced to hyperspectral image (HSI) classification and achieved effective performance. With the depth of the CNN increases, it may cause the gradient to become zero, and the structure… read more here.

Keywords: network; classification; proposed mdrn; hyperspectral image ... See more keywords
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Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography

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recommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"

DOI: 10.1109/tcbb.2021.3065986

Abstract: Cryo-electron tomography, combined with subtomogram averaging (STA), can reveal three-dimensional (3D) macromolecule structures in the near-native state from cells and other biological samples. In STA, to get a high-resolution 3D view of macromolecule structures, diverse… read more here.

Keywords: dilated densenet; electron tomography; densenet; cryo electron ... See more keywords