BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 37716506)

  • 1. Automating Ground Truth Annotations for Gland Segmentation Through Immunohistochemistry.
    Kataria T; Rajamani S; Ayubi AB; Bronner M; Jedrzkiewicz J; Knudsen BS; Elhabian SY
    Mod Pathol; 2023 Dec; 36(12):100331. PubMed ID: 37716506
    [TBL] [Abstract][Full Text] [Related]  

  • 2. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
    Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
    Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.
    Bulten W; Bándi P; Hoven J; Loo RV; Lotz J; Weiss N; Laak JV; Ginneken BV; Hulsbergen-van de Kaa C; Litjens G
    Sci Rep; 2019 Jan; 9(1):864. PubMed ID: 30696866
    [TBL] [Abstract][Full Text] [Related]  

  • 4. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.
    Segebarth D; Griebel M; Stein N; von Collenberg CR; Martin C; Fiedler D; Comeras LB; Sah A; Schoeffler V; Lüffe T; Dürr A; Gupta R; Sasi M; Lillesaar C; Lange MD; Tasan RO; Singewald N; Pape HC; Flath CM; Blum R
    Elife; 2020 Oct; 9():. PubMed ID: 33074102
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-Organ Gland Segmentation Using Deep Learning.
    Binder T; Tantaoui EM; Pati P; Catena R; Set-Aghayan A; Gabrani M
    Front Med (Lausanne); 2019; 6():173. PubMed ID: 31428614
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
    Marini N; Otálora S; Müller H; Atzori M
    Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach.
    Van Eycke YR; Balsat C; Verset L; Debeir O; Salmon I; Decaestecker C
    Med Image Anal; 2018 Oct; 49():35-45. PubMed ID: 30081241
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A machine learning model for separating epithelial and stromal regions in oral cavity squamous cell carcinomas using H&E-stained histology images: A multi-center, retrospective study.
    Wu Y; Koyuncu CF; Toro P; Corredor G; Feng Q; Buzzy C; Old M; Teknos T; Connelly ST; Jordan RC; Lang Kuhs KA; Lu C; Lewis JS; Madabhushi A
    Oral Oncol; 2022 Aug; 131():105942. PubMed ID: 35689952
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.
    Fassler DJ; Abousamra S; Gupta R; Chen C; Zhao M; Paredes D; Batool SA; Knudsen BS; Escobar-Hoyos L; Shroyer KR; Samaras D; Kurc T; Saltz J
    Diagn Pathol; 2020 Jul; 15(1):100. PubMed ID: 32723384
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI.
    Swinburne NC; Yadav V; Murthy KNK; Elnajjar P; Shih HH; Panyam PK; Santilli A; Gutman DC; Pike L; Moss NS; Stone J; Hatzoglou V; Shah A; Juluru K; Shah SP; Holodny AI; Young RJ;
    Eur Radiol; 2023 Sep; 33(9):6582-6591. PubMed ID: 37042979
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A hybrid deep learning approach for gland segmentation in prostate histopathological images.
    Salvi M; Bosco M; Molinaro L; Gambella A; Papotti M; Acharya UR; Molinari F
    Artif Intell Med; 2021 May; 115():102076. PubMed ID: 34001325
    [TBL] [Abstract][Full Text] [Related]  

  • 12. NuClick: A deep learning framework for interactive segmentation of microscopic images.
    Alemi Koohbanani N; Jahanifar M; Zamani Tajadin N; Rajpoot N
    Med Image Anal; 2020 Oct; 65():101771. PubMed ID: 32769053
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Image generation by GAN and style transfer for agar plate image segmentation.
    Andreini P; Bonechi S; Bianchini M; Mecocci A; Scarselli F
    Comput Methods Programs Biomed; 2020 Feb; 184():105268. PubMed ID: 31891902
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Deep learning-based medical image segmentation with limited labels.
    Chi W; Ma L; Wu J; Chen M; Lu W; Gu X
    Phys Med Biol; 2020 Nov; 65(23):. PubMed ID: 33086205
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning.
    Hesse LS; Aliasi M; Moser F; ; Haak MC; Xie W; Jenkinson M; Namburete AIL
    Neuroimage; 2022 Jul; 254():119117. PubMed ID: 35331871
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MTU: A multi-tasking U-net with hybrid convolutional learning and attention modules for cancer classification and gland Segmentation in Colon Histopathological Images.
    Dabass M; Vashisth S; Vig R
    Comput Biol Med; 2022 Nov; 150():106095. PubMed ID: 36179516
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SinGAN-Seg: Synthetic training data generation for medical image segmentation.
    Thambawita V; Salehi P; Sheshkal SA; Hicks SA; Hammer HL; Parasa S; Lange T; Halvorsen P; Riegler MA
    PLoS One; 2022; 17(5):e0267976. PubMed ID: 35500005
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
    Lin Y; Qu Z; Chen H; Gao Z; Li Y; Xia L; Ma K; Zheng Y; Cheng KT
    Med Image Anal; 2023 Oct; 89():102933. PubMed ID: 37611532
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.