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 *

109 related articles for article (PubMed ID: 39037268)

  • 21. ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.
    Ji Z; Mu J; Liu J; Zhang H; Dai C; Zhang X; Ganchev I
    Med Biol Eng Comput; 2024 Jun; 62(6):1673-1687. PubMed ID: 38326677
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Tumor attention networks: Better feature selection, better tumor segmentation.
    Pang S; Du A; Orgun MA; Wang Y; Yu Z
    Neural Netw; 2021 Aug; 140():203-222. PubMed ID: 33780873
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Automated segmentation of lesions and organs at risk on [
    Yazdani E; Karamzadeh-Ziarati N; Cheshmi SS; Sadeghi M; Geramifar P; Vosoughi H; Jahromi MK; Kheradpisheh SR
    Cancer Imaging; 2024 Feb; 24(1):30. PubMed ID: 38424612
    [TBL] [Abstract][Full Text] [Related]  

  • 24. HFCF-Net: A hybrid-feature cross fusion network for COVID-19 lesion segmentation from CT volumetric images.
    Wang Y; Yang Q; Tian L; Zhou X; Rekik I; Huang H
    Med Phys; 2022 Jun; 49(6):3797-3815. PubMed ID: 35301729
    [TBL] [Abstract][Full Text] [Related]  

  • 25. [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].
    Tian H; Wang Y; Ji Y; Rahman MM
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):447-454. PubMed ID: 38645864
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation.
    Yue Y; Li N; Zhang G; Xing W; Zhu Z; Liu X; Song S; Ta D
    Comput Methods Programs Biomed; 2024 Jun; 251():108216. PubMed ID: 38761412
    [TBL] [Abstract][Full Text] [Related]  

  • 27. MCAFNet: multiscale cross-layer attention fusion network for honeycomb lung lesion segmentation.
    Li G; Xie J; Zhang L; Sun M; Li Z; Sun Y
    Med Biol Eng Comput; 2024 Apr; 62(4):1121-1137. PubMed ID: 38150110
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Femoral image segmentation based on two-stage convolutional network using 3D-DMFNet and 3D-ResUnet.
    Zhang X; Zheng Y; Bai X; Cai L; Wang L; Wu S; Ke Q; Huang J
    Comput Methods Programs Biomed; 2022 Nov; 226():107110. PubMed ID: 36167001
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 3D PET/CT tumor segmentation based on nnU-Net with GCN refinement.
    Xue H; Fang Q; Yao Y; Teng Y
    Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37549672
    [No Abstract]   [Full Text] [Related]  

  • 30. MFCNet: A multi-modal fusion and calibration networks for 3D pancreas tumor segmentation on PET-CT images.
    Wang F; Cheng C; Cao W; Wu Z; Wang H; Wei W; Yan Z; Liu Z
    Comput Biol Med; 2023 Mar; 155():106657. PubMed ID: 36791551
    [TBL] [Abstract][Full Text] [Related]  

  • 31. STEDNet: Swin transformer-based encoder-decoder network for noise reduction in low-dose CT.
    Zhu L; Han Y; Xi X; Fu H; Tan S; Liu M; Yang S; Liu C; Li L; Yan B
    Med Phys; 2023 Jul; 50(7):4443-4458. PubMed ID: 36708286
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Dual-branch feature fusion S3D V-Net network for lung nodules segmentation.
    Xu X; Du L; Yin D
    J Appl Clin Med Phys; 2024 Jun; 25(6):e14331. PubMed ID: 38478388
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Complete abdomen and pelvis segmentation using U-net variant architecture.
    Weston AD; Korfiatis P; Philbrick KA; Conte GM; Kostandy P; Sakinis T; Zeinoddini A; Boonrod A; Moynagh M; Takahashi N; Erickson BJ
    Med Phys; 2020 Nov; 47(11):5609-5618. PubMed ID: 32740931
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Swin-Net: A Swin-Transformer-Based Network Combing with Multi-Scale Features for Segmentation of Breast Tumor Ultrasound Images.
    Zhu C; Chai X; Xiao Y; Liu X; Zhang R; Yang Z; Wang Z
    Diagnostics (Basel); 2024 Jan; 14(3):. PubMed ID: 38337784
    [TBL] [Abstract][Full Text] [Related]  

  • 35. DRINet for Medical Image Segmentation.
    Chen L; Bentley P; Mori K; Misawa K; Fujiwara M; Rueckert D
    IEEE Trans Med Imaging; 2018 Nov; 37(11):2453-2462. PubMed ID: 29993738
    [TBL] [Abstract][Full Text] [Related]  

  • 36. OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.
    Heinrich MP; Oktay O; Bouteldja N
    Med Image Anal; 2019 May; 54():1-9. PubMed ID: 30807894
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.
    Okada T; Linguraru MG; Hori M; Summers RM; Tomiyama N; Sato Y
    Med Image Anal; 2015 Dec; 26(1):1-18. PubMed ID: 26277022
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Multi-Dimensional Cascaded Net with Uncertain Probability Reduction for Abdominal Multi-Organ Segmentation in CT Sequences.
    Li C; Mao Y; Guo Y; Li J; Wang Y
    Comput Methods Programs Biomed; 2022 Jun; 221():106887. PubMed ID: 35597204
    [TBL] [Abstract][Full Text] [Related]  

  • 39. HCA-DAN: hierarchical class-aware domain adaptive network for gastric tumor segmentation in 3D CT images.
    Yuan N; Zhang Y; Lv K; Liu Y; Yang A; Hu P; Yu H; Han X; Guo X; Li J; Wang T; Lei B; Ma G
    Cancer Imaging; 2024 May; 24(1):63. PubMed ID: 38773670
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Dual encoder network with transformer-CNN for multi-organ segmentation.
    Hong Z; Chen M; Hu W; Yan S; Qu A; Chen L; Chen J
    Med Biol Eng Comput; 2023 Mar; 61(3):661-671. PubMed ID: 36580181
    [TBL] [Abstract][Full Text] [Related]  

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