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1. Preparation and properties of bio-based PA56/SiO2-NH2 composite nanofiber membranes for high efficiency oil-water separation NSTL国家科技图书文献中心

Li, Zhuoqun |  Dong, Guangshun... -  《Journal of Membrane Science》 - 2025,713 - 共13页

摘要: micro-nodule structure. The effects of the addition of | , structure, and properties of the fiber membranes were |  structure on the nanofiber surface, enhancing the | With the continuous development of |  environmental protection and resource recycling demands, the
关键词: Polyamide 56 (PA56) |  Electrostatic spinning nanofiber membrane |  Mixed solvent |  Amino-functionalized silica (SiO2-NH2) nanoparticles |  Oil-water separation

2. An Improved Pix2pix Generative Adversarial Network Model to Enhance Thyroid Nodule Segmentation NSTL国家科技图书文献中心

Huda F. AL-Shahad |  Razali Yaakob... -  《Journal of Advances in Information Technology》 - 2025,16(1) - 37~48 - 共12页

摘要: (pix2pix) model, for thyroid nodule segmentation, where | -decoder structure inspired by U-Net architecture to |  thyroid nodule images and segmented it using the |  pix2pix model produced greater flexibility in nodule | Thyroid nodules are a type of lesion, which
关键词: Thyroid nodules segmentation |  Ultrasound image |  Deep learning |  Generative adversarial networks |  Pix2pix |  Loss function

3. A Cascade Model to Detect and Segment Lung Nodule Using YOLOv8 and Resnet50U-Net NSTL国家科技图书文献中心

Selma Mammeri |  Mohamed-Yassine Haou...... -  《International journal of imaging systems and technology》 - 2025,35(1) - e70023.1~e70023.14 - 共14页

摘要: precision of lung nodule analysis. This innovative |  heterogeneity of the lung structure make the segmentation task |  favorable results in both nodule detection and |  nodule detection and segmentation. | In our research, we introduce a sophisticated
关键词: deep learning |  lung cancer |  lung nodules |  object detection |  Resnet50Unet |  segmentation |  YOLO

4. Prior knowledge-based multi-task learning network for pulmonary nodule classification NSTL国家科技图书文献中心

Xue, Peng |  Lu, Hang... -  《Computerized Medical Imaging and Graphics》 - 2025,121 - 102511~102511 - 共9页

摘要: nodule, also known as the attributes, are crucial for | . However, most of pulmonary nodule classification models |  pulmonary nodule classification. To be specific, the |  hypergraph structure, and leverage hypergraph neural | The morphological characteristics of pulmonary
关键词: Pulmonary nodule classification |  Transfer learning |  Multi-task learning |  Hypergraph neural network |  Feature fusion

5. Efficacy and Mechanism of Highly Active Umbilical Cord Mesenchymal Stem Cells in the Treatment of Osteoporosis in Rats NSTL国家科技图书文献中心

Chuan Tian |  Guanke Lv... -  《Current stem cell research & therapy》 - 2025,20(1) - 91~102 - 共12页

摘要: cross-micro-CT, tibial structure was observed via HE |  increased, the bone structure improved, the trabecular | , trabecular area, number and perimeter, calcareous nodule |  include an improved bone structure, increased BMD, an | Background: Osteoporosis increases bone
关键词: Osteoporosis |  umbilical cord mesenchymal stem cells |  highly active umbilical cord mesenchymal stem cells |  menopause |  microenvironment |  BMD.

6. Iron-Manganese Nodules in Soils of Natural Landscapes in the South of the Russian Far East NSTL国家科技图书文献中心

Timofeeva, Ya. O. |  Karabtsov, A. A.... -  《Eurasian Soil Science》 - 2025,58(1) - 共12页

摘要:The structure, composition, and specificity of | , as well as of nodule-specific minerals (goethite |  accumulation of trace elements by rounded nodules in gleyic |  soddy brown-podzolic soils (Gleyic Luvisol |  (Manganiferric)) of nature reserves and a national park in the
关键词: nodules |  iron |  manganese |  trace elements |  structure of neoformations |  polynuclear nodules |  goethite |  birnessite |  feroxyhyte

7. Deformable attention mechanism-based YOLOv7 structure for lung nodule detection NSTL国家科技图书文献中心

Yu Liu |  Yongcai Ao -  《The Journal of Supercomputing》 - 2024,80(17) - 25450~25469 - 共20页

摘要: limitations, a novel lung nodule detection algorithm based |  efficiency of lung nodule detection. | Early detection of lung nodules is essential |  for lung cancer screening and improving patient |  survival rates. Traditional object detection networks
关键词: Nodule detection |  Y0L0v7 |  Deformable attention |  Deep learning

8. Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation NSTL国家科技图书文献中心

Mingxiu Sui |  Jiacheng Hu... -  《2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering》 -  International Conference on Big Data and Artificial Intelligence and Software Engineering - 2024, - 634~638 - 共5页

摘要: approach leverages a unique Channel Squeeze U-Structure |  information processing, channel residual structure, and | This paper introduces a novel deep-learning |  method for the automatic detection and segmentation of |  lung nodules, aimed at advancing the accuracy of
关键词: Technological innovation |  Accuracy |  Lungs |  Lung cancer |  Information processing |  Computer architecture |  Feature extraction |  Transformers |  Computer aided diagnosis |  Artificial intelligence

9. An improved CNN-based thyroid nodule screening algorithm in ultrasound images NSTL国家科技图书文献中心

Yang T.-Y. |  Zhou L.-Q.... -  《Biomedical signal processing and control》 - 2024,87(Jan. Pt.A) - 1.1~1.14 - 共14页 - 被引量:1

摘要: address these issues, we proposed a nodule detection |  representative of convolutional structure algorithms. To obtain |  rich nodule detail. To improve the early screening |  mAP@S (Early nodules) of the improved thyroid nodule |  integrated this method into other convolutional structure
关键词: Attention mechanism |  Deformable convolution |  Involution structure |  Thyroid nodule screening |  Ultrasound image

10. Differential Diagnosis of Benign and Malignant Pulmonary Nodules in CT Images Based on Multitask Learning NSTL国家科技图书文献中心

G. Song |  Q. Dai... -  《Current Medical Imaging.》 - 2024,20(5) - e15734056252399~e15734056252399 - 共6页

摘要: divided into subtasks such as nodule detection |  design, network structure, and constraints and proposes |  of pulmonary nodule detection, segmentation, and |  Memory) network and U-shaped structure network is |  metric score of 87.80% for nodule detection and a Dice
关键词: Benign and Malignant Classification |  CT images |  Multi-task Learning |  Nodules Detection |  Semantic Segmentation |  Weakly Supervised Learning.
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