BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 38588676)

  • 1. Multiscale and multiperception feature learning for pancreatic lesion detection based on noncontrast CT.
    Yan T; Tang G; Zhang H; Liang L; Ma J; Gao Y; Zhou C; Li S
    Phys Med Biol; 2024 May; 69(10):. PubMed ID: 38588676
    [No Abstract]   [Full Text] [Related]  

  • 2. [Advanced Faster RCNN: a non-contrast CT-based algorithm for detecting pancreatic lesions in multiple disease stages].
    Liang L; Zhang H; Lu Q; Zhou C; Li S
    Nan Fang Yi Ke Da Xue Xue Bao; 2023 May; 43(5):755-763. PubMed ID: 37313817
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 3cDe-Net: a cervical cancer cell detection network based on an improved backbone network and multiscale feature fusion.
    Wang W; Tian Y; Xu Y; Zhang XX; Li YS; Zhao SF; Bai YH
    BMC Med Imaging; 2022 Jul; 22(1):130. PubMed ID: 35870877
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
    Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
    Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Few-shot learning with deformable convolution for multiscale lesion detection in mammography.
    Li C; Zhang D; Tian Z; Du S; Qu Y
    Med Phys; 2020 Jul; 47(7):2970-2985. PubMed ID: 32160321
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network.
    Liu SL; Li S; Guo YT; Zhou YP; Zhang ZD; Li S; Lu Y
    Chin Med J (Engl); 2019 Dec; 132(23):2795-2803. PubMed ID: 31856050
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An improved faster R-CNN algorithm for assisted detection of lung nodules.
    Xu J; Ren H; Cai S; Zhang X
    Comput Biol Med; 2023 Feb; 153():106470. PubMed ID: 36587571
    [TBL] [Abstract][Full Text] [Related]  

  • 9. HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.
    Kushnure DT; Talbar SN
    Comput Methods Programs Biomed; 2022 Jan; 213():106501. PubMed ID: 34752959
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Low-dose CT denoising with a high-level feature refinement and dynamic convolution network.
    Yang S; Pu Q; Lei C; Zhang Q; Jeon S; Yang X
    Med Phys; 2023 Jun; 50(6):3597-3611. PubMed ID: 36542402
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.
    Si K; Xue Y; Yu X; Zhu X; Li Q; Gong W; Liang T; Duan S
    Theranostics; 2021; 11(4):1982-1990. PubMed ID: 33408793
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures.
    Cao Z; Duan L; Yang G; Yue T; Chen Q
    BMC Med Imaging; 2019 Jul; 19(1):51. PubMed ID: 31262255
    [TBL] [Abstract][Full Text] [Related]  

  • 13. AC-Faster R-CNN: an improved detection architecture with high precision and sensitivity for abnormality in spine x-ray images.
    Zhong B; Yi J; Jin Z
    Phys Med Biol; 2023 Sep; 68(19):. PubMed ID: 37678268
    [No Abstract]   [Full Text] [Related]  

  • 14. [Image segmentation of skin lesions based on dense atrous spatial pyramid pooling and attention mechanism].
    Yin W; Zhou D; Fan T; Yu Z; Li Z
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Dec; 39(6):1108-1116. PubMed ID: 36575079
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy.
    Men K; Boimel P; Janopaul-Naylor J; Zhong H; Huang M; Geng H; Cheng C; Fan Y; Plastaras JP; Ben-Josef E; Xiao Y
    Phys Med Biol; 2018 Sep; 63(18):185016. PubMed ID: 30109986
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
    Olberg S; Zhang H; Kennedy WR; Chun J; Rodriguez V; Zoberi I; Thomas MA; Kim JS; Mutic S; Green OL; Park JC
    Med Phys; 2019 Sep; 46(9):4135-4147. PubMed ID: 31309586
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
    Lee H; Hong H; Kim J; Jung DC
    Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
    Liu Z; Yuan H; Wang H
    Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated mammographic mass detection using deformable convolution and multiscale features.
    Peng J; Bao C; Hu C; Wang X; Jian W; Liu W
    Med Biol Eng Comput; 2020 Jul; 58(7):1405-1417. PubMed ID: 32297129
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Segmentation of ground glass pulmonary nodules using full convolution residual network based on atrous spatial pyramid pooling structure and attention mechanism].
    Dong T; Wei L; Ye X; Chen Y; Hou X; Nie S
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Jun; 39(3):441-451. PubMed ID: 35788513
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.