BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

247 related articles for article (PubMed ID: 35667155)

  • 1. Deep learning techniques for liver and liver tumor segmentation: A review.
    Gul S; Khan MS; Bibi A; Khandakar A; Ayari MA; Chowdhury MEH
    Comput Biol Med; 2022 Aug; 147():105620. PubMed ID: 35667155
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer.
    Ahn SH; Yeo AU; Kim KH; Kim C; Goh Y; Cho S; Lee SB; Lim YK; Kim H; Shin D; Kim T; Kim TH; Youn SH; Oh ES; Jeong JH
    Radiat Oncol; 2019 Nov; 14(1):213. PubMed ID: 31775825
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation.
    Budak Ü; Guo Y; Tanyildizi E; Şengür A
    Med Hypotheses; 2020 Jan; 134():109431. PubMed ID: 31669758
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
    Guo X; Schwartz LH; Zhao B
    Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Liver tumor segmentation based on 3D convolutional neural network with dual scale.
    Meng L; Tian Y; Bu S
    J Appl Clin Med Phys; 2020 Jan; 21(1):144-157. PubMed ID: 31793212
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches.
    Zhou X
    Adv Exp Med Biol; 2020; 1213():135-147. PubMed ID: 32030668
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors.
    Kavur AE; Gezer NS; Barış M; Şahin Y; Özkan S; Baydar B; Yüksel U; Kılıkçıer Ç; Olut Ş; Bozdağı Akar G; Ünal G; Dicle O; Selver MA
    Diagn Interv Radiol; 2020 Jan; 26(1):11-21. PubMed ID: 31904568
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
    Ottom MA; Rahman HA; Dinov ID
    IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM.
    Zheng R; Wang Q; Lv S; Li C; Wang C; Chen W; Wang H
    IEEE Trans Med Imaging; 2022 Oct; 41(10):2965-2976. PubMed ID: 35576424
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.
    Bevilacqua V; Brunetti A; Cascarano GD; Guerriero A; Pesce F; Moschetta M; Gesualdo L
    BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 9):244. PubMed ID: 31830973
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Fast interactive medical image segmentation with weakly supervised deep learning method.
    Girum KB; Créhange G; Hussain R; Lalande A
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1437-1444. PubMed ID: 32653985
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.
    Ouhmich F; Agnus V; Noblet V; Heitz F; Pessaux P
    Int J Comput Assist Radiol Surg; 2019 Aug; 14(8):1275-1284. PubMed ID: 31041697
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging.
    Qayyum A; Lalande A; Meriaudeau F
    Comput Biol Med; 2020 Dec; 127():104097. PubMed ID: 33142142
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Study on the accuracy of automatic segmentation of knee CT images based on deep learning].
    Song P; Fan Z; Zhi X; Cao Z; Min S; Liu X; Zhang Y; Kong X; Chai W
    Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi; 2022 May; 36(5):534-539. PubMed ID: 35570625
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning for image-based liver analysis - A comprehensive review focusing on malignant lesions.
    Survarachakan S; Prasad PJR; Naseem R; Pérez de Frutos J; Kumar RP; Langø T; Alaya Cheikh F; Elle OJ; Lindseth F
    Artif Intell Med; 2022 Aug; 130():102331. PubMed ID: 35809970
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
    Roth HR; Lu L; Lay N; Harrison AP; Farag A; Sohn A; Summers RM
    Med Image Anal; 2018 Apr; 45():94-107. PubMed ID: 29427897
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Segmentation of liver tumors with abdominal computed tomography using fully convolutional networks.
    Chen CI; Lu NH; Huang YH; Liu KY; Hsu SY; Matsushima A; Wang YM; Chen TB
    J Xray Sci Technol; 2022; 30(5):953-966. PubMed ID: 35754254
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N; Gou S; Yang S; Ruan D; Sheng K
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A hybrid approach based on deep learning and level set formulation for liver segmentation in CT images.
    Gong Z; Guo C; Guo W; Zhao D; Tan W; Zhou W; Zhang G
    J Appl Clin Med Phys; 2022 Jan; 23(1):e13482. PubMed ID: 34873831
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.