يعرض 1 - 10 نتائج من 44 نتيجة بحث عن '"H&E images"', وقت الاستعلام: 1.08s تنقيح النتائج
  1. 1
    مؤتمر
    Pyramid Feature Iterative Fusion: A Cross-Scale Fusion Algorithm for Enhanced Analysis of H&E Images in HER2-Positive Breast Cancer

    المؤلفون: Xiong, Xiaomin, Zhang, Yuqi, Gu, Lihua, Li, Yi, Lin, Bo, Lei, Dajiang, Wang, Guoyin, Xu, Bo

    المصدر: 2023 IEEE International Conference on Data Mining Workshops (ICDMW) ICDMW Data Mining Workshops (ICDMW), 2023 IEEE International Conference on. :311-317 Dec, 2023

    Relation: 2023 IEEE International Conference on Data Mining Workshops (ICDMW)

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  2. 2
    دورية أكاديمية
    Exploring Radiomics Features Based on H&E Images as Potential Biomarkers for Evaluating Muscle Atrophy: A Preliminary Study

    المؤلفون: Du, Getao, Zhang, Peng, Guo, Jianzhong, Zhou, Xu, Kan, Guanghan, Jia, Jiajie, Chen, XiaopingAff2, IDs1027802401122w_cor7, Liang, JiminAff3, IDs1027802401122w_cor8, Zhan, YonghuaAff1, IDs1027802401122w_cor9

    المصدر: Journal of Imaging Informatics in Medicine. :1-18

    Find this article in full text from Springer Verlag.
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  3. 3
    مؤتمر
    Ensembles of fractal descriptors with multiple deep learned features for classification of histological images

    المؤلفون: Da Costa Longo, Leonardo Henrique, Martins, Alessandro S., Do Nascimento, Marcelo Zanchetta, Dos Santos, Luiz Fernando Segato, Roberto, Guilherme Freire, Neves, Leandro Alves

    المصدر: 2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP) Systems, Signals and Image Processing (IWSSIP), 2022 29th International Conference on. CFP2255E-ART:1-4 Jun, 2022

    Relation: 2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP)

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  4. 4
    مؤتمر
    Comparative Study of Deep Learning Models For Automatic Detection of Metastases in H&E Stained Images

    المؤلفون: Ahmad, Bilal, Jun, Sun, Li, Jinxing, Lidan, Bai

    المصدر: 2021 4th International Conference on Computing & Information Sciences (ICCIS) Computing & Information Sciences (ICCIS), 2021 4th International Conference on. :1-6 Nov, 2021

    Relation: 2021 4th International Conference on Computing & Information Sciences (ICCIS)

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  5. 5
    مؤتمر
    Automated Quantification and Simulation of Hippocampal Images Treated with Kainic Acid from Rat Brain Slices

    المؤلفون: Alzahrani, Hussain Saad, Reza, Faruque, Begum, Tahamina, Yajid, Aidy Irman, Shafin, Nazlahshaniza, Nawi, Mohd Harizal Senik

    المصدر: 2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Signal Processing & Its Applications (CSPA), 2021 IEEE 17th International Colloquium on. :161-164 Mar, 2021

    Relation: 2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA)

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  6. 6
    دورية أكاديمية
    Prognostic risk stratification of gliomas using deep learning in digital pathology images

    المؤلفون: Chunduru, Pranathi, Phillips, Joanna J, Molinaro, Annette M

    المصدر: Neuro-Oncology Advances. 4(1)

    مصطلحات موضوعية: Brain Cancer, Cancer, Clinical Research, Neurosciences, Rare Diseases, Brain Disorders, Prevention, Genetics, Human Genome, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, digital pathology, glioma, H&E images, risk stratification, survival deep learning

    وصف الملف: application/pdf

    URL الوصول: https://escholarship.org/uc/item/3gw528zk

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  7. 7
    دورية أكاديمية
    Evaluating the Microsatellite Instability of Colorectal Cancer Based on Multimodal Deep Learning Integrating Histopathological and Molecular Data

    المؤلفون: Wenjing Qiu, Jiasheng Yang, Bing Wang, Min Yang, Geng Tian, Peizhen Wang, Jialiang Yang

    المصدر: Frontiers in Oncology, Vol 12 (2022)

    مصطلحات موضوعية: microsatellite instability, H&E images, multi-omics data, multimodal deep learning, compact bilinear pooling, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fonc.2022.925079/full; https://doaj.org/toc/2234-943X

    URL الوصول: https://doaj.org/article/75d4fefb40ad403fa17677b482c5850a

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  8. 8
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

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  9. 9
    دورية أكاديمية
    Nuclear shape, architecture and orientation features from H&E images are able to predict recurrence in node-negative gastric adenocarcinoma

    المؤلفون: Meng-Yao Ji, Lei Yuan, Xiao-Da Jiang, Zhi Zeng, Na Zhan, Ping-Xiao Huang, Cheng Lu, Wei-Guo Dong

    المصدر: Journal of Translational Medicine, Vol 17, Iss 1, Pp 1-12 (2019)

    مصطلحات موضوعية: Digital H&E images, Predication, Negative-node gastric adenocarcinoma, Quantitative histomorphometric, Medicine

    وصف الملف: electronic resource

    Relation: http://link.springer.com/article/10.1186/s12967-019-1839-x; https://doaj.org/toc/1479-5876

    URL الوصول: https://doaj.org/article/f42e2ecb53c24e028ad4b68f32a41939

    Find this article in full text from Springer Verlag. Find this article in full text from ProQuest Full Text Finder
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  10. 10
    دورية أكاديمية
    Automatic layer segmentation in H&E images of mice skin based on colour deconvolution and fuzzy C-mean clustering

    المؤلفون: Saif Hussein, PhD

    المصدر: Informatics in Medicine Unlocked, Vol 25, Iss , Pp 100692- (2021)

    مصطلحات موضوعية: Segmentation of H&E images, Fuzzy cluster, Colour deconvolution, Computer applications to medicine. Medical informatics, R858-859.7

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S2352914821001763; https://doaj.org/toc/2352-9148

    URL الوصول: https://doaj.org/article/acf49f8f761a4839a65f2b4e5d5f657f

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