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LNAS: a clinically applicable deep-learning system for mediastinal enlarged lymph nodes segmentation and station mapping without regard to the pathogenesis using unenhanced CT images.

• Authors : Cao Y; Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.; Feng J

Subjects: Artificial Intelligence* ; Deep Learning*; Humans

• Source: La Radiologia medica [Radiol Med] 2024 Feb; Vol. 129 (2), pp. 229-238. Date of Electronic Publication: 2023 Dec 18.Publisher: Springer Milan Country of Publication: Italy NLM ID: 0177625 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Tobacco Leaves Maturity Classification Based on Deep Learning and Proximal Hyperspectral Imaging.

• Authors : Wu, Xuejun; Wu, Xuemei; Li, Delun

Subjects: DEEP learning; CONVOLUTIONAL neural networks; TOBACCO

• Source: Analytical Letters; 2024, Vol. 57 Issue 13, p2034-2049, 16p

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ConvNeXt-MHC: improving MHC–peptide affinity prediction by structure-derived degenerate coding and the ConvNeXt model.

• Authors : Zhang, Le; Song, Wenkai; Zhu, Tinghao

Subjects: MAJOR histocompatibility complex; VIDEO coding; SUPERVISED learning

• Source: Briefings in Bioinformatics; May2024, Vol. 25 Issue 3, p1-10, 10p

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Recent Progress of Protein Tertiary Structure Prediction.

• Authors : Wuyun, Qiqige; Chen, Yihan; Shen, Yifeng

Subjects: PROTEIN structure prediction; DEEP learning; LANGUAGE models

• Source: Molecules; Feb2024, Vol. 29 Issue 4, p832, 28p

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Agricola

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Recognizing sports activities from video frames using deformable convolution and adaptive multiscale features.

• Authors : Xiao, Lei; Cao, Yang; Gai, Yihe

Subjects: DEEP learning; SPORTS administration; HUMAN activity recognition

• Source: Journal of Cloud Computing (2192-113X); 12/1/2023, Vol. 12 Issue 1, p1-20, 20p

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Automated detection of multi-class urinary sediment particles: An accurate deep learning approach.

• Authors : Lyu, He; Xu, Fanxin; Jin, Tao

Subjects: URINALYSIS; DATA augmentation; URINARY organs

• Source: Biocybernetics & Biomedical Engineering; Oct2023, Vol. 43 Issue 4, p672-683, 12p

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Optical Diffractive Convolutional Neural Networks Implemented in an All-Optical Way.

• Authors : Yu, Yaze; Cao, Yang; Wang, Gong

Subjects: CONVOLUTIONAL neural networks; NONLINEAR optical materials; IMAGE recognition (Computer vision)

• Source: Sensors (14248220); Jun2023, Vol. 23 Issue 12, p5749, 14p

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DILRS: Domain-Incremental Learning for Semantic Segmentation in Multi-Source Remote Sensing Data.

• Authors : Rui, Xue; Li, Ziqiang; Cao, Yang

Subjects: REMOTE sensing; MACHINE learning; DEEP learning

• Source: Remote Sensing; May2023, Vol. 15 Issue 10, p2541, 21p

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Robust Object Detection via Adversarial Novel Style Exploration.

• Authors : Wang, Wen (AUTHOR); Zhang, Jing (AUTHOR); Zhai, Wei (AUTHOR)

Subjects: VIDEO surveillance; AUTONOMOUS vehicles; DETECTORS

• Source: IEEE Transactions on Image Processing. 2022, Vol. 31, p1949-1962. 14p.

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