BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 30194565)

  • 1. FCN-based approach for the automatic segmentation of bone surfaces in ultrasound images.
    Villa M; Dardenne G; Nasan M; Letissier H; Hamitouche C; Stindel E
    Int J Comput Assist Radiol Surg; 2018 Nov; 13(11):1707-1716. PubMed ID: 30194565
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MSFCN-multiple supervised fully convolutional networks for the osteosarcoma segmentation of CT images.
    Huang L; Xia W; Zhang B; Qiu B; Gao X
    Comput Methods Programs Biomed; 2017 May; 143():67-74. PubMed ID: 28391820
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging.
    Shahedi M; Cool DW; Bauman GS; Bastian-Jordan M; Fenster A; Ward AD
    J Digit Imaging; 2017 Dec; 30(6):782-795. PubMed ID: 28342043
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Robust real-time bone surfaces segmentation from ultrasound using a local phase tensor-guided CNN.
    Wang P; Vives M; Patel VM; Hacihaliloglu I
    Int J Comput Assist Radiol Surg; 2020 Jul; 15(7):1127-1135. PubMed ID: 32430694
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic segmentation of bone surfaces from ultrasound using a filter-layer-guided CNN.
    Alsinan AZ; Patel VM; Hacihaliloglu I
    Int J Comput Assist Radiol Surg; 2019 May; 14(5):775-783. PubMed ID: 30868478
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Spatially varying accuracy and reproducibility of prostate segmentation in magnetic resonance images using manual and semiautomated methods.
    Shahedi M; Cool DW; Romagnoli C; Bauman GS; Bastian-Jordan M; Gibson E; Rodrigues G; Ahmad B; Lock M; Fenster A; Ward AD
    Med Phys; 2014 Nov; 41(11):113503. PubMed ID: 25370674
    [TBL] [Abstract][Full Text] [Related]  

  • 8. User-guided segmentation of preterm neonate ventricular system from 3-D ultrasound images using convex optimization.
    Qiu W; Yuan J; Kishimoto J; McLeod J; Chen Y; de Ribaupierre S; Fenster A
    Ultrasound Med Biol; 2015 Feb; 41(2):542-56. PubMed ID: 25542486
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Fast and automatic bone segmentation and registration of 3D ultrasound to CT for the full pelvic anatomy: a comparative study.
    Pandey P; Guy P; Hodgson AJ; Abugharbieh R
    Int J Comput Assist Radiol Surg; 2018 Oct; 13(10):1515-1524. PubMed ID: 29804181
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.
    Alsinan AZ; Patel VM; Hacihaliloglu I
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1477-1485. PubMed ID: 32656685
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A framework for quantification and visualization of segmentation accuracy and variability in 3D lateral ventricle ultrasound images of preterm neonates.
    Chen Y; Qiu W; Kishimoto J; Gao Y; Chan RH; de Ribaupierre S; Fenster A; Chiu B
    Med Phys; 2015 Nov; 42(11):6387-405. PubMed ID: 26520730
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia.
    Hareendranathan AR; Mabee M; Punithakumar K; Noga M; Jaremko JL
    Int J Comput Assist Radiol Surg; 2016 Jan; 11(1):31-42. PubMed ID: 26092660
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of manual and automatic segmentation of the mouse heart from CINE MR images.
    Heijman E; Aben JP; Penners C; Niessen P; Guillaume R; van Eys G; Nicolay K; Strijkers GJ
    J Magn Reson Imaging; 2008 Jan; 27(1):86-93. PubMed ID: 18050352
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An application of cascaded 3D fully convolutional networks for medical image segmentation.
    Roth HR; Oda H; Zhou X; Shimizu N; Yang Y; Hayashi Y; Oda M; Fujiwara M; Misawa K; Mori K
    Comput Med Imaging Graph; 2018 Jun; 66():90-99. PubMed ID: 29573583
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 3-D Ultrasound Segmentation of the Placenta Using the Random Walker Algorithm: Reliability and Agreement.
    Stevenson GN; Collins SL; Ding J; Impey L; Noble JA
    Ultrasound Med Biol; 2015 Dec; 41(12):3182-93. PubMed ID: 26341043
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
    Ma J; Wu F; Jiang T; Zhao Q; Kong D
    Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
    Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
    Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
    [TBL] [Abstract][Full Text] [Related]  

  • 18. HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network.
    Li Y; Shen L; Yu S
    IEEE Trans Med Imaging; 2017 Jul; 36(7):1561-1572. PubMed ID: 28237925
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A segmentation method combining probability map and boundary based on multiple fully convolutional networks and repetitive training.
    Yin W; Hu Y; Yi S; He J
    Phys Med Biol; 2019 Sep; 64(18):185003. PubMed ID: 30808019
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections.
    Chlebus G; Meine H; Thoduka S; Abolmaali N; van Ginneken B; Hahn HK; Schenk A
    PLoS One; 2019; 14(5):e0217228. PubMed ID: 31107915
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.