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 *

196 related articles for article (PubMed ID: 33641679)

  • 21. CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation.
    Pezzano G; Díaz O; Ripoll VR; Radeva P
    Comput Biol Med; 2021 Sep; 136():104689. PubMed ID: 34364263
    [TBL] [Abstract][Full Text] [Related]  

  • 22. RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation.
    Khan RA; Luo Y; Wu FX
    Artif Intell Med; 2022 Feb; 124():102231. PubMed ID: 35115126
    [TBL] [Abstract][Full Text] [Related]  

  • 23. SD-UNet: Stripping Down U-Net for Segmentation of Biomedical Images on Platforms with Low Computational Budgets.
    Gadosey PK; Li Y; Adjei Agyekum E; Zhang T; Liu Z; Yamak PT; Essaf F
    Diagnostics (Basel); 2020 Feb; 10(2):. PubMed ID: 32085469
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Medical lesion segmentation by combining multimodal images with modality weighted UNet.
    Zhu X; Wu Y; Hu H; Zhuang X; Yao J; Ou D; Li W; Song M; Feng N; Xu D
    Med Phys; 2022 Jun; 49(6):3692-3704. PubMed ID: 35312077
    [TBL] [Abstract][Full Text] [Related]  

  • 25. SPA-UNet: A liver tumor segmentation network based on fused multi-scale features.
    Li W; Jia M; Yang C; Lin Z; Yu Y; Zhang W
    Open Life Sci; 2023; 18(1):20220685. PubMed ID: 37724113
    [TBL] [Abstract][Full Text] [Related]  

  • 26. SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
    Wang J; Lv P; Wang H; Shi C
    Comput Methods Programs Biomed; 2021 Sep; 208():106268. PubMed ID: 34274611
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images.
    Wang Y; Lombardo E; Huang L; Avanzo M; Fanetti G; Franchin G; Zschaeck S; Weingärtner J; Belka C; Riboldi M; Kurz C; Landry G
    Radiat Oncol; 2024 Jan; 19(1):3. PubMed ID: 38191431
    [TBL] [Abstract][Full Text] [Related]  

  • 28. MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images.
    Chi J; Zhang S; Han X; Wang H; Wu C; Yu X
    Signal Process Image Commun; 2022 Oct; 108():116835. PubMed ID: 35935468
    [TBL] [Abstract][Full Text] [Related]  

  • 29. RDCTrans U-Net: A Hybrid Variable Architecture for Liver CT Image Segmentation.
    Li L; Ma H
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408067
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Lung and Infection CT-Scan-Based Segmentation with 3D UNet Architecture and Its Modification.
    Asnawi MH; Pravitasari AA; Darmawan G; Hendrawati T; Yulita IN; Suprijadi J; Nugraha FAL
    Healthcare (Basel); 2023 Jan; 11(2):. PubMed ID: 36673581
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Medical Image Segmentation Using Automatic Optimized U-Net Architecture Based on Genetic Algorithm.
    Khouy M; Jabrane Y; Ameur M; Hajjam El Hassani A
    J Pers Med; 2023 Aug; 13(9):. PubMed ID: 37763066
    [TBL] [Abstract][Full Text] [Related]  

  • 32. COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet.
    Saeedizadeh N; Minaee S; Kafieh R; Yazdani S; Sonka M
    Comput Methods Programs Biomed Update; 2021; 1():100007. PubMed ID: 34337587
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture.
    Qin W; Wu Y; Li S; Chen Y; Yang Y; Liu X; Zheng H; Liang D; Hu Z
    Biomed Phys Eng Express; 2020 Feb; 6(2):025009. PubMed ID: 33438635
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images.
    Iyer TJ; Joseph Raj AN; Ghildiyal S; Nersisson R
    PeerJ Comput Sci; 2021; 7():e368. PubMed ID: 33817018
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Joint liver and hepatic lesion segmentation in MRI using a hybrid CNN with transformer layers.
    Hille G; Agrawal S; Tummala P; Wybranski C; Pech M; Surov A; Saalfeld S
    Comput Methods Programs Biomed; 2023 Oct; 240():107647. PubMed ID: 37329803
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout.
    Zhao LM; Zhang H; Kim DD; Ghimire K; Hu R; Kargilis DC; Tang L; Meng S; Chen Q; Liao WH; Bai H; Jiao Z; Feng X
    Phys Med Biol; 2023 Apr; 68(9):. PubMed ID: 37019119
    [No Abstract]   [Full Text] [Related]  

  • 38. A Coarse-to-Fine Fusion Network for Small Liver Tumor Detection and Segmentation: A Real-World Study.
    Wu S; Yu H; Li C; Zheng R; Xia X; Wang C; Wang H
    Diagnostics (Basel); 2023 Jul; 13(15):. PubMed ID: 37568868
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
    Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
    Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
    [TBL] [Abstract][Full Text] [Related]  

  • 40. HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images.
    Hao W; Zhang J; Su J; Song Y; Liu Z; Liu Y; Qiu C; Han K
    Comput Methods Programs Biomed; 2022 Sep; 224():107003. PubMed ID: 35868034
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.