BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

271 related articles for article (PubMed ID: 33477123)

  • 21. A Weak and Semi-supervised Segmentation Method for Prostate Cancer in TRUS Images.
    Han S; Hwang SI; Lee HJ
    J Digit Imaging; 2020 Aug; 33(4):838-845. PubMed ID: 32043178
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation.
    Lyu F; Ma AJ; Yip TC; Wong GL; Yuen PC
    IEEE Trans Med Imaging; 2022 May; 41(5):1138-1149. PubMed ID: 34871168
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Weakly Supervised Deep Nuclei Segmentation With Sparsely Annotated Bounding Boxes for DNA Image Cytometry.
    Liang Y; Yin Z; Liu H; Zeng H; Wang J; Liu J; Che N
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):785-795. PubMed ID: 34951851
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
    Li X; Yu L; Chen H; Fu CW; Xing L; Heng PA
    IEEE Trans Neural Netw Learn Syst; 2021 Feb; 32(2):523-534. PubMed ID: 32479407
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Weakly-supervised convolutional neural networks for multimodal image registration.
    Hu Y; Modat M; Gibson E; Li W; Ghavami N; Bonmati E; Wang G; Bandula S; Moore CM; Emberton M; Ourselin S; Noble JA; Barratt DC; Vercauteren T
    Med Image Anal; 2018 Oct; 49():1-13. PubMed ID: 30007253
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
    Qu H; Wu P; Huang Q; Yi J; Yan Z; Li K; Riedlinger GM; De S; Zhang S; Metaxas DN
    IEEE Trans Med Imaging; 2020 Nov; 39(11):3655-3666. PubMed ID: 32746112
    [TBL] [Abstract][Full Text] [Related]  

  • 27. SAC-Net: Learning with weak and noisy labels in histopathology image segmentation.
    Guo R; Xie K; Pagnucco M; Song Y
    Med Image Anal; 2023 May; 86():102790. PubMed ID: 36878159
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An Effective Semi-Supervised Approach for Liver CT Image Segmentation.
    Han K; Liu L; Song Y; Liu Y; Qiu C; Tang Y; Teng Q; Liu Z
    IEEE J Biomed Health Inform; 2022 Aug; 26(8):3999-4007. PubMed ID: 35420991
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
    Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
    Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Weakly supervised semantic segmentation of histological tissue via attention accumulation and pixel-level contrast learning.
    Han Y; Cheng L; Huang G; Zhong G; Li J; Yuan X; Liu H; Li J; Zhou J; Cai M
    Phys Med Biol; 2023 Feb; 68(4):. PubMed ID: 36577142
    [No Abstract]   [Full Text] [Related]  

  • 31. 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]  

  • 32. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
    Burton W; Myers C; Rullkoetter P
    Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation.
    He X; Fang L; Tan M; Chen X
    IEEE Trans Image Process; 2022; 31():1870-1881. PubMed ID: 35139015
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation.
    Lou A; Tawfik K; Yao X; Liu Z; Noble J
    IEEE Trans Med Imaging; 2023 Oct; 42(10):2832-2841. PubMed ID: 37037256
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation.
    Zhu Q; Du B; Yan P
    IEEE Trans Med Imaging; 2020 Mar; 39(3):753-763. PubMed ID: 31425022
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Mutual consistency learning for semi-supervised medical image segmentation.
    Wu Y; Ge Z; Zhang D; Xu M; Zhang L; Xia Y; Cai J
    Med Image Anal; 2022 Oct; 81():102530. PubMed ID: 35839737
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Self-Supervised Learning for Few-Shot Medical Image Segmentation.
    Ouyang C; Biffi C; Chen C; Kart T; Qiu H; Rueckert D
    IEEE Trans Med Imaging; 2022 Jul; 41(7):1837-1848. PubMed ID: 35139014
    [TBL] [Abstract][Full Text] [Related]  

  • 38. HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images.
    Zhong L; Wang G; Liao X; Zhang S
    IEEE Trans Med Imaging; 2023 Oct; 42(10):2912-2923. PubMed ID: 37093729
    [TBL] [Abstract][Full Text] [Related]  

  • 39. One-Shot Weakly-Supervised Segmentation in 3D Medical Images.
    Lei W; Su Q; Jiang T; Gu R; Wang N; Liu X; Wang G; Zhang X; Zhang S
    IEEE Trans Med Imaging; 2024 Jan; 43(1):175-189. PubMed ID: 37440388
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Weakly supervised joint whole-slide segmentation and classification in prostate cancer.
    Pati P; Jaume G; Ayadi Z; Thandiackal K; Bozorgtabar B; Gabrani M; Goksel O
    Med Image Anal; 2023 Oct; 89():102915. PubMed ID: 37633177
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.