BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

114 related articles for article (PubMed ID: 37364585)

  • 21. AX-Unet: A Deep Learning Framework for Image Segmentation to Assist Pancreatic Tumor Diagnosis.
    Yang M; Zhang Y; Chen H; Wang W; Ni H; Chen X; Li Z; Mao C
    Front Oncol; 2022; 12():894970. PubMed ID: 35719964
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior.
    Zhang H; Yang X; Li D; Cui Y; Zhao J; Qiu S
    J Biomed Inform; 2023 Mar; 139():104304. PubMed ID: 36736447
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images.
    Zhou Y; Chen H; Li Y; Liu Q; Xu X; Wang S; Yap PT; Shen D
    Med Image Anal; 2021 May; 70():101918. PubMed ID: 33676100
    [TBL] [Abstract][Full Text] [Related]  

  • 24. CTG-Net: Cross-task guided network for breast ultrasound diagnosis.
    Yang K; Suzuki A; Ye J; Nosato H; Izumori A; Sakanashi H
    PLoS One; 2022; 17(8):e0271106. PubMed ID: 35951606
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Feature interaction network based on hierarchical decoupled convolution for 3D medical image segmentation.
    Shen L; Zhang Y; Wang Q; Qin F; Sun D; Min H; Meng Q; Xu C; Zhao W; Song X
    PLoS One; 2023; 18(7):e0288658. PubMed ID: 37440581
    [TBL] [Abstract][Full Text] [Related]  

  • 26. MG-Net: Multi-level global-aware network for thymoma segmentation.
    Li J; Sun W; von Deneen KM; Fan X; An G; Cui G; Zhang Y
    Comput Biol Med; 2023 Mar; 155():106635. PubMed ID: 36791547
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images.
    Sun L; Shao W; Zhang D; Liu M
    IEEE Trans Med Imaging; 2020 Jun; 39(6):2000-2012. PubMed ID: 31899417
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet).
    Cao T; Wang G; Ren L; Li Y; Wang H
    Phys Med Biol; 2022 Apr; 67(9):. PubMed ID: 35294935
    [No Abstract]   [Full Text] [Related]  

  • 29. Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model.
    Hu Y; Guo Y; Wang Y; Yu J; Li J; Zhou S; Chang C
    Med Phys; 2019 Jan; 46(1):215-228. PubMed ID: 30374980
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.
    Han L; Huang Y; Dou H; Wang S; Ahamad S; Luo H; Liu Q; Fan J; Zhang J
    Comput Methods Programs Biomed; 2020 Jun; 189():105275. PubMed ID: 31978805
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A multiple-channel and atrous convolution network for ultrasound image segmentation.
    Zhang L; Zhang J; Li Z; Song Y
    Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization.
    Zhang J; Liu M; Wang L; Chen S; Yuan P; Li J; Shen SG; Tang Z; Chen KC; Xia JJ; Shen D
    Med Image Anal; 2020 Feb; 60():101621. PubMed ID: 31816592
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Channel Attention Module With Multiscale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image.
    Lee H; Park J; Hwang JY
    IEEE Trans Ultrason Ferroelectr Freq Control; 2020 Jul; 67(7):1344-1353. PubMed ID: 32054578
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis.
    Chen Q; Zhang J; Meng R; Zhou L; Li Z; Feng Q; Shen D
    IEEE Trans Med Imaging; 2024 May; 43(5):1958-1971. PubMed ID: 38206779
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Registration-guided deep learning image segmentation for cone beam CT-based online adaptive radiotherapy.
    Ma L; Chi W; Morgan HE; Lin MH; Chen M; Sher D; Moon D; Vo DT; Avkshtol V; Lu W; Gu X
    Med Phys; 2022 Aug; 49(8):5304-5316. PubMed ID: 35460584
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Refined UNet v3: Efficient end-to-end patch-wise network for cloud and shadow segmentation with multi-channel spectral features.
    Jiao L; Huo L; Hu C; Tang P
    Neural Netw; 2021 Nov; 143():767-782. PubMed ID: 34488013
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Category guided attention network for brain tumor segmentation in MRI.
    Li J; Yu H; Chen C; Ding M; Zha S
    Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35354136
    [No Abstract]   [Full Text] [Related]  

  • 39. Latent shape image learning via disentangled representation for cross-sequence image registration and segmentation.
    Wu J; Yang Q; Zhou S
    Int J Comput Assist Radiol Surg; 2023 Apr; 18(4):621-628. PubMed ID: 36346499
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
    Liu Y; Zhang M; Zhong Z; Zeng X
    Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
    [TBL] [Abstract][Full Text] [Related]  

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