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 *

113 related articles for article (PubMed ID: 37015694)

  • 21. STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation.
    Dinsdale NK; Jenkinson M; Namburete AIL
    Med Image Anal; 2022 Oct; 81():102583. PubMed ID: 36037556
    [TBL] [Abstract][Full Text] [Related]  

  • 22. DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation.
    Belevich I; Jokitalo E
    PLoS Comput Biol; 2021 Mar; 17(3):e1008374. PubMed ID: 33651804
    [TBL] [Abstract][Full Text] [Related]  

  • 23. IAS-NET: Joint intraclassly adaptive GAN and segmentation network for unsupervised cross-domain in neonatal brain MRI segmentation.
    Li B; You X; Wang J; Peng Q; Yin S; Qi R; Ren Q; Hong Z
    Med Phys; 2021 Nov; 48(11):6962-6975. PubMed ID: 34494276
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Cross-convolutional transformer for automated multi-organs segmentation in a variety of medical images.
    Wang J; Zhao H; Liang W; Wang S; Zhang Y
    Phys Med Biol; 2023 Jan; 68(3):. PubMed ID: 36623323
    [No Abstract]   [Full Text] [Related]  

  • 25. Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
    Hasan MK; Calvet L; Rabbani N; Bartoli A
    Med Image Anal; 2021 May; 70():101994. PubMed ID: 33611053
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images.
    Zhuang M; Chen Z; Wang H; Tang H; He J; Qin B; Yang Y; Jin X; Yu M; Jin B; Li T; Kettunen L
    Int J Comput Assist Radiol Surg; 2023 Feb; 18(2):379-394. PubMed ID: 36048319
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Segmenting Objects From Relational Visual Data.
    Lu X; Wang W; Shen J; Crandall DJ; Van Gool L
    IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):7885-7897. PubMed ID: 34582345
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images.
    Cui Y; Zhang G; Liu Z; Xiong Z; Hu J
    Med Biol Eng Comput; 2019 Sep; 57(9):2027-2043. PubMed ID: 31346949
    [TBL] [Abstract][Full Text] [Related]  

  • 29. DCACNet: Dual context aggregation and attention-guided cross deconvolution network for medical image segmentation.
    Lu H; Tian S; Yu L; Liu L; Cheng J; Wu W; Kang X; Zhang D
    Comput Methods Programs Biomed; 2022 Feb; 214():106566. PubMed ID: 34890992
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Crowdsourcing image annotation for nucleus detection and segmentation in computational pathology: evaluating experts, automated methods, and the crowd.
    Irshad H; Montaser-Kouhsari L; Waltz G; Bucur O; Nowak JA; Dong F; Knoblauch NW; Beck AH
    Pac Symp Biocomput; 2015; ():294-305. PubMed ID: 25592590
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels.
    Petit O; Thome N; Soler L
    Comput Med Imaging Graph; 2021 Jul; 91():101938. PubMed ID: 34153879
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network.
    Lei T; Zhang D; Du X; Wang X; Wan Y; Nandi AK
    IEEE Trans Med Imaging; 2023 May; 42(5):1265-1277. PubMed ID: 36449588
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Discretely-constrained deep network for weakly supervised segmentation.
    Peng J; Kervadec H; Dolz J; Ben Ayed I; Pedersoli M; Desrosiers C
    Neural Netw; 2020 Oct; 130():297-308. PubMed ID: 32721843
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A convolutional neural network for segmentation of yeast cells without manual training annotations.
    Kruitbosch HT; Mzayek Y; Omlor S; Guerra P; Milias-Argeitis A
    Bioinformatics; 2022 Feb; 38(5):1427-1433. PubMed ID: 34893817
    [TBL] [Abstract][Full Text] [Related]  

  • 35. DENSE-INception U-net for medical image segmentation.
    Zhang Z; Wu C; Coleman S; Kerr D
    Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation.
    Xie L; Wisse LEM; Wang J; Ravikumar S; Khandelwal P; Glenn T; Luther A; Lim S; Wolk DA; Yushkevich PA
    Med Image Anal; 2023 Jan; 83():102683. PubMed ID: 36379194
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.
    Ribalta Lorenzo P; Nalepa J; Bobek-Billewicz B; Wawrzyniak P; Mrukwa G; Kawulok M; Ulrych P; Hayball MP
    Comput Methods Programs Biomed; 2019 Jul; 176():135-148. PubMed ID: 31200901
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Abdomen CT multi-organ segmentation using token-based MLP-Mixer.
    Pan S; Chang CW; Wang T; Wynne J; Hu M; Lei Y; Liu T; Patel P; Roper J; Yang X
    Med Phys; 2023 May; 50(5):3027-3038. PubMed ID: 36463516
    [TBL] [Abstract][Full Text] [Related]  

  • 39. MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning.
    Müller D; Kramer F
    BMC Med Imaging; 2021 Jan; 21(1):12. PubMed ID: 33461500
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Deep learning based domain adaptation for mitochondria segmentation on EM volumes.
    Franco-Barranco D; Pastor-Tronch J; González-Marfil A; Muñoz-Barrutia A; Arganda-Carreras I
    Comput Methods Programs Biomed; 2022 Jul; 222():106949. PubMed ID: 35753105
    [TBL] [Abstract][Full Text] [Related]  

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