These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 37672979)

  • 61. Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
    Bajwa MN; Malik MI; Siddiqui SA; Dengel A; Shafait F; Neumeier W; Ahmed S
    BMC Med Inform Decis Mak; 2019 Jul; 19(1):136. PubMed ID: 31315618
    [TBL] [Abstract][Full Text] [Related]  

  • 62. Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study.
    Guo Y; He Y; Lyu J; Zhou Z; Yang D; Ma L; Tan HT; Chen C; Zhang W; Hu J; Han D; Ding G; Liu S; Qiao H; Xu F; Lou X; Dai Q
    Lancet Digit Health; 2022 Aug; 4(8):e584-e593. PubMed ID: 35725824
    [TBL] [Abstract][Full Text] [Related]  

  • 63. Automated curation of large-scale cancer histopathology image datasets using deep learning.
    Hilgers L; Ghaffari Laleh N; West NP; Westwood A; Hewitt KJ; Quirke P; Grabsch HI; Carrero ZI; Matthaei E; Loeffler CML; Brinker TJ; Yuan T; Brenner H; Brobeil A; Hoffmeister M; Kather JN
    Histopathology; 2024 Jun; 84(7):1139-1153. PubMed ID: 38409878
    [TBL] [Abstract][Full Text] [Related]  

  • 64. DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer.
    Schirris Y; Gavves E; Nederlof I; Horlings HM; Teuwen J
    Med Image Anal; 2022 Jul; 79():102464. PubMed ID: 35596966
    [TBL] [Abstract][Full Text] [Related]  

  • 65. Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia.
    Durrani N; Vukovic D; van der Burgt J; Antico M; van Sloun RJG; Canty D; Steffens M; Wang A; Royse A; Royse C; Haji K; Dowling J; Chetty G; Fontanarosa D
    Sci Rep; 2022 Oct; 12(1):17581. PubMed ID: 36266463
    [TBL] [Abstract][Full Text] [Related]  

  • 66. 3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.
    Park GE; Kim SH; Nam Y; Kang J; Park M; Kang BJ
    J Magn Reson Imaging; 2024 Jun; 59(6):2252-2262. PubMed ID: 37596823
    [TBL] [Abstract][Full Text] [Related]  

  • 67. Automatic T Staging Using Weakly Supervised Deep Learning for Nasopharyngeal Carcinoma on MR Images.
    Yang Q; Guo Y; Ou X; Wang J; Hu C
    J Magn Reson Imaging; 2020 Oct; 52(4):1074-1082. PubMed ID: 32583578
    [TBL] [Abstract][Full Text] [Related]  

  • 68. Accurate deep learning model using semi-supervised learning and Noisy Student for cervical cancer screening in low magnification images.
    Kurita Y; Meguro S; Tsuyama N; Kosugi I; Enomoto Y; Kawasaki H; Uemura T; Kimura M; Iwashita T
    PLoS One; 2023; 18(5):e0285996. PubMed ID: 37200281
    [TBL] [Abstract][Full Text] [Related]  

  • 69. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
    Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
    Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
    [TBL] [Abstract][Full Text] [Related]  

  • 70. Semi-supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT.
    Maynord M; Farhangi MM; Fermüller C; Aloimonos Y; Levine G; Petrick N; Sahiner B; Pezeshk A
    Med Phys; 2023 Jul; 50(7):4255-4268. PubMed ID: 36630691
    [TBL] [Abstract][Full Text] [Related]  

  • 71. DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data.
    Cheng L; Karkhanis P; Gokbag B; Liu Y; Li L
    PLoS Comput Biol; 2022 Apr; 18(4):e1008885. PubMed ID: 35404970
    [TBL] [Abstract][Full Text] [Related]  

  • 72. 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]  

  • 73. Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation.
    Osman YBM; Li C; Huang W; Wang S
    J Magn Reson Imaging; 2023 Dec; ():. PubMed ID: 38156427
    [TBL] [Abstract][Full Text] [Related]  

  • 74. Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images.
    Liu Y; He Q; Duan H; Shi H; Han A; He Y
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015814
    [TBL] [Abstract][Full Text] [Related]  

  • 75. Single-detector multiplex imaging flow cytometry for cancer cell classification with deep learning.
    Wang Z; Liu Q; Zhou J; Su X
    Cytometry A; 2024 Aug; ():. PubMed ID: 39101554
    [TBL] [Abstract][Full Text] [Related]  

  • 76. SAM-X: sorting algorithm for musculoskeletal x-ray radiography.
    Hinterwimmer F; Consalvo S; Wilhelm N; Seidl F; Burgkart RHH; von Eisenhart-Rothe R; Rueckert D; Neumann J
    Eur Radiol; 2023 Mar; 33(3):1537-1544. PubMed ID: 36307553
    [TBL] [Abstract][Full Text] [Related]  

  • 77. Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection.
    Carrillo-Perez F; Ortuno FM; Börjesson A; Rojas I; Herrera LJ
    Cancer Imaging; 2023 Jun; 23(1):66. PubMed ID: 37365659
    [TBL] [Abstract][Full Text] [Related]  

  • 78. A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images.
    Dabass M; Vashisth S; Vig R
    Comput Biol Med; 2022 Aug; 147():105680. PubMed ID: 35671654
    [TBL] [Abstract][Full Text] [Related]  

  • 79. Deep clustering for abdominal organ classification in ultrasound imaging.
    Dadoun H; Delingette H; Rousseau AL; de Kerviler E; Ayache N
    J Med Imaging (Bellingham); 2023 May; 10(3):034502. PubMed ID: 37216152
    [TBL] [Abstract][Full Text] [Related]  

  • 80. Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models.
    Celniak W; Wodziński M; Jurgas A; Burti S; Zotti A; Atzori M; Müller H; Banzato T
    Sci Rep; 2023 Nov; 13(1):19518. PubMed ID: 37945653
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.