BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 37730567)

  • 1. HAHNet: a convolutional neural network for HER2 status classification of breast cancer.
    Wang J; Zhu X; Chen K; Hao L; Liu Y
    BMC Bioinformatics; 2023 Sep; 24(1):353. PubMed ID: 37730567
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Vision Transformers for Breast Cancer Human Epidermal Growth Factor Receptor 2 Expression Staging without Immunohistochemical Staining.
    Ayana G; Lee E; Choe SW
    Am J Pathol; 2024 Mar; 194(3):402-414. PubMed ID: 38096984
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Learning to Estimate Human Epidermal Growth Factor Receptor 2 Status from Hematoxylin and Eosin-Stained Breast Tissue Images.
    Anand D; Kurian NC; Dhage S; Kumar N; Rane S; Gann PH; Sethi A
    J Pathol Inform; 2020; 11():19. PubMed ID: 33033656
    [TBL] [Abstract][Full Text] [Related]  

  • 4. AutoIHC-Analyzer: computer-assisted microscopy for automated membrane extraction/scoring in HER2 molecular markers.
    Tewary S; Arun I; Ahmed R; Chatterjee S; Mukhopadhyay S
    J Microsc; 2021 Jan; 281(1):87-96. PubMed ID: 32803890
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network.
    Khameneh FD; Razavi S; Kamasak M
    Comput Biol Med; 2019 Jul; 110():164-174. PubMed ID: 31163391
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of Breast Cancer with Lightweight Deep Neural Networks for Histology Image Classification.
    Laxmisagar HS; Hanumantharaju MC
    Crit Rev Biomed Eng; 2022; 50(2):1-19. PubMed ID: 36374820
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.
    Rana A; Lowe A; Lithgow M; Horback K; Janovitz T; Da Silva A; Tsai H; Shanmugam V; Bayat A; Shah P
    JAMA Netw Open; 2020 May; 3(5):e205111. PubMed ID: 32432709
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
    Gandomkar Z; Brennan PC; Mello-Thoms C
    Artif Intell Med; 2018 Jun; 88():14-24. PubMed ID: 29705552
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics.
    Weitz P; Valkonen M; Solorzano L; Carr C; Kartasalo K; Boissin C; Koivukoski S; Kuusela A; Rasic D; Feng Y; Sinius Pouplier S; Sharma A; Ledesma Eriksson K; Latonen L; Laenkholm AV; Hartman J; Ruusuvuori P; Rantalainen M
    Sci Data; 2023 Aug; 10(1):562. PubMed ID: 37620357
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning.
    Yang J; Ju J; Guo L; Ji B; Shi S; Yang Z; Gao S; Yuan X; Tian G; Liang Y; Yuan P
    Comput Struct Biotechnol J; 2022; 20():333-342. PubMed ID: 35035786
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer.
    Farahmand S; Fernandez AI; Ahmed FS; Rimm DL; Chuang JH; Reisenbichler E; Zarringhalam K
    Mod Pathol; 2022 Jan; 35(1):44-51. PubMed ID: 34493825
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma.
    Feng M; Deng Y; Yang L; Jing Q; Zhang Z; Xu L; Wei X; Zhou Y; Wu D; Xiang F; Wang Y; Bao J; Bu H
    Diagn Pathol; 2020 May; 15(1):65. PubMed ID: 32471471
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer.
    Shamai G; Binenbaum Y; Slossberg R; Duek I; Gil Z; Kimmel R
    JAMA Netw Open; 2019 Jul; 2(7):e197700. PubMed ID: 31348505
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation.
    Saha M; Chakraborty C
    IEEE Trans Image Process; 2018 May; 27(5):2189-2200. PubMed ID: 29432100
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiclass classification of breast cancer histopathology images using multilevel features of deep convolutional neural network.
    Hameed Z; Garcia-Zapirain B; Aguirre JJ; Isaza-Ruget MA
    Sci Rep; 2022 Sep; 12(1):15600. PubMed ID: 36114214
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images.
    Yan R; Ren F; Li J; Rao X; Lv Z; Zheng C; Zhang F
    Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684680
    [TBL] [Abstract][Full Text] [Related]  

  • 17. HER2-ResNet: A HER2 classification method based on deep residual network.
    Wang X; Shao C; Liu W; Liang H; Li N
    Technol Health Care; 2022; 30(S1):215-224. PubMed ID: 35124598
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Normalization of HE-stained histological images using cycle consistent generative adversarial networks.
    Runz M; Rusche D; Schmidt S; Weihrauch MR; Hesser J; Weis CA
    Diagn Pathol; 2021 Aug; 16(1):71. PubMed ID: 34362386
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of malignant melanoma in H&E-stained images using deep learning techniques.
    Alheejawi S; Berendt R; Jha N; Maity SP; Mandal M
    Tissue Cell; 2021 Dec; 73():101659. PubMed ID: 34634635
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data.
    Yao Y; Lv Y; Tong L; Liang Y; Xi S; Ji B; Zhang G; Li L; Tian G; Tang M; Hu X; Li S; Yang J
    Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36242564
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.