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 *

209 related articles for article (PubMed ID: 34487501)

  • 21. KLSANet: Key local semantic alignment Network for few-shot image classification.
    Sun Z; Zheng W; Guo P
    Neural Netw; 2024 Oct; 178():106456. PubMed ID: 38901096
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images.
    Aatresh AA; Yatgiri RP; Chanchal AK; Kumar A; Ravi A; Das D; Bs R; Lal S; Kini J
    Comput Med Imaging Graph; 2021 Oct; 93():101975. PubMed ID: 34461375
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation.
    Dai D; Dong C; Xu S; Yan Q; Li Z; Zhang C; Luo N
    Med Image Anal; 2022 Jan; 75():102293. PubMed ID: 34800787
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.
    Xu Y; Jia Z; Wang LB; Ai Y; Zhang F; Lai M; Chang EI
    BMC Bioinformatics; 2017 May; 18(1):281. PubMed ID: 28549410
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification.
    Feng R; Liu X; Chen J; Chen DZ; Gao H; Wu J
    IEEE J Biomed Health Inform; 2021 Oct; 25(10):3700-3708. PubMed ID: 33232248
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Feature-shared adaptive-boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images.
    Wang J; Chen X; Lu H; Zhang L; Pan J; Bao Y; Su J; Qian D
    Med Phys; 2020 Apr; 47(4):1738-1749. PubMed ID: 32020649
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep learning-based framework for slide-based histopathological image analysis.
    Kosaraju S; Park J; Lee H; Yang JW; Kang M
    Sci Rep; 2022 Nov; 12(1):19075. PubMed ID: 36351997
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Weakly supervised mitosis detection in breast histopathology images using concentric loss.
    Li C; Wang X; Liu W; Latecki LJ; Wang B; Huang J
    Med Image Anal; 2019 Apr; 53():165-178. PubMed ID: 30798116
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Learning low-dose CT degradation from unpaired data with flow-based model.
    Liu X; Liang X; Deng L; Tan S; Xie Y
    Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Breast cancer pathological image classification based on deep learning.
    Hou Y
    J Xray Sci Technol; 2020; 28(4):727-738. PubMed ID: 32390646
    [TBL] [Abstract][Full Text] [Related]  

  • 31. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
    Liu L; Zhang Z; Li S; Ma K; Zheng Y
    Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Meta multi-task nuclei segmentation with fewer training samples.
    Han C; Yao H; Zhao B; Li Z; Shi Z; Wu L; Chen X; Qu J; Zhao K; Lan R; Liang C; Pan X; Liu Z
    Med Image Anal; 2022 Aug; 80():102481. PubMed ID: 35653901
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images.
    Xing F; Cornish TC; Bennett T; Ghosh D; Yang L
    IEEE Trans Biomed Eng; 2019 Nov; 66(11):3088-3097. PubMed ID: 30802845
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
    P B S; Faruqi F; K S H; Kudva R
    Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
    [TBL] [Abstract][Full Text] [Related]  

  • 36. TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis.
    Ran W; Yang B; Ma P; Lu H
    IEEE Trans Image Process; 2023 Jan; PP():. PubMed ID: 37018333
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification.
    Altini N; Marvulli TM; Zito FA; Caputo M; Tommasi S; Azzariti A; Brunetti A; Prencipe B; Mattioli E; De Summa S; Bevilacqua V
    Comput Methods Programs Biomed; 2023 Jun; 234():107511. PubMed ID: 37011426
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.
    Zeng R; Lin CY; Li Q; Jiang L; Skopec M; Fessler JA; Myers KJ
    Med Phys; 2022 Feb; 49(2):836-853. PubMed ID: 34954845
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deep feature descriptor based hierarchical dense matching for X-ray angiographic images.
    Fan J; Yang J; Wang Y; Yang S; Ai D; Huang Y; Song H; Wang Y; Shen D
    Comput Methods Programs Biomed; 2019 Jul; 175():233-242. PubMed ID: 31104711
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Cross-domain heterogeneous residual network for single image super-resolution.
    Ji L; Zhu Q; Zhang Y; Yin J; Wei R; Xiao J; Xiao D; Zhao G
    Neural Netw; 2022 May; 149():84-94. PubMed ID: 35217397
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.