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 *

115 related articles for article (PubMed ID: 33068826)

  • 1. Automated seeding for ultrasound skin lesion segmentation.
    Marosán P; Szalai K; Csabai D; Csány G; Horváth A; Gyöngy M
    Ultrasonics; 2021 Feb; 110():106268. PubMed ID: 33068826
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Segmentation of Skin Tumors in High-Frequency 3-D Ultrasound Images.
    Sciolla B; Cowell L; Dambry T; Guibert B; Delachartre P
    Ultrasound Med Biol; 2017 Jan; 43(1):227-238. PubMed ID: 27720519
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
    Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
    Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Unsupervised sub-segmentation for pigmented skin lesions.
    Liu Z; Sun J; Smith M; Smith L; Warr R
    Skin Res Technol; 2012 Feb; 18(1):77-87. PubMed ID: 21545650
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fully-automated tongue detection in ultrasound images.
    Karimi E; Ménard L; Laporte C
    Comput Biol Med; 2019 Aug; 111():103335. PubMed ID: 31279163
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
    Bi L; Kim J; Ahn E; Kumar A; Fulham M; Feng D
    IEEE Trans Biomed Eng; 2017 Sep; 64(9):2065-2074. PubMed ID: 28600236
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Biologically inspired skin lesion segmentation using a geodesic active contour technique.
    Kasmi R; Mokrani K; Rader RK; Cole JG; Stoecker WV
    Skin Res Technol; 2016 May; 22(2):208-22. PubMed ID: 26403797
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fully Automated Enhanced Tumor Compartmentalization: Man vs. Machine Reloaded.
    Porz N; Habegger S; Meier R; Verma R; Jilch A; Fichtner J; Knecht U; Radina C; Schucht P; Beck J; Raabe A; Slotboom J; Reyes M; Wiest R
    PLoS One; 2016; 11(11):e0165302. PubMed ID: 27806121
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Melanoma recognition in dermoscopy images using lesion's peripheral region information.
    Tajeddin NZ; Asl BM
    Comput Methods Programs Biomed; 2018 Sep; 163():143-153. PubMed ID: 30119849
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Skin lesion image segmentation using Delaunay Triangulation for melanoma detection.
    Pennisi A; Bloisi DD; Nardi D; Giampetruzzi AR; Mondino C; Facchiano A
    Comput Med Imaging Graph; 2016 Sep; 52():89-103. PubMed ID: 27215953
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning approach to skin layers segmentation in inflammatory dermatoses.
    Czajkowska J; Badura P; Korzekwa S; Płatkowska-Szczerek A
    Ultrasonics; 2021 Jul; 114():106412. PubMed ID: 33784575
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions.
    Giri MG; Cavedon C; Mazzarotto R; Ferdeghini M
    Med Phys; 2016 May; 43(5):2491. PubMed ID: 27147360
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Segmentation of uterine fibroid ultrasound images using a dynamic statistical shape model in HIFU therapy.
    Ni B; He F; Yuan Z
    Comput Med Imaging Graph; 2015 Dec; 46 Pt 3():302-14. PubMed ID: 26459767
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Applying an adaptive Otsu-based initialization algorithm to optimize active contour models for skin lesion segmentation.
    Malik YS; Tamoor M; Naseer A; Wali A; Khan A
    J Xray Sci Technol; 2022; 30(6):1169-1184. PubMed ID: 36093674
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model.
    Tan T; Gubern-Mérida A; Borelli C; Manniesing R; van Zelst J; Wang L; Zhang W; Platel B; Mann RM; Karssemeijer N
    Med Phys; 2016 Jul; 43(7):4074. PubMed ID: 27370126
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.
    Sauwen N; Acou M; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Huffel SV
    BMC Med Imaging; 2017 May; 17(1):29. PubMed ID: 28472943
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?
    Egger C; Opfer R; Wang C; Kepp T; Sormani MP; Spies L; Barnett M; Schippling S
    Neuroimage Clin; 2017; 13():264-270. PubMed ID: 28018853
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hair detection and lesion segmentation in dermoscopic images using domain knowledge.
    Pathan S; Prabhu KG; Siddalingaswamy PC
    Med Biol Eng Comput; 2018 Nov; 56(11):2051-2065. PubMed ID: 29761315
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An automated segmentation method for three-dimensional carotid ultrasound images.
    Zahalka A; Fenster A
    Phys Med Biol; 2001 Apr; 46(4):1321-42. PubMed ID: 11324967
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.