BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

2113 related articles for article (PubMed ID: 31200901)

  • 21. Brain tumor segmentation with Deep Neural Networks.
    Havaei M; Davy A; Warde-Farley D; Biard A; Courville A; Bengio Y; Pal C; Jodoin PM; Larochelle H
    Med Image Anal; 2017 Jan; 35():18-31. PubMed ID: 27310171
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
    Dolz J; Xu X; Rony J; Yuan J; Liu Y; Granger E; Desrosiers C; Zhang X; Ben Ayed I; Lu H
    Med Phys; 2018 Dec; 45(12):5482-5493. PubMed ID: 30328624
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
    Tong N; Gou S; Yang S; Cao M; Sheng K
    Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 3D convolutional neural networks for tumor segmentation using long-range 2D context.
    Mlynarski P; Delingette H; Criminisi A; Ayache N
    Comput Med Imaging Graph; 2019 Apr; 73():60-72. PubMed ID: 30889541
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network.
    Sert E; Özyurt F; Doğantekin A
    Med Hypotheses; 2019 Dec; 133():109413. PubMed ID: 31586812
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.
    Kushibar K; Valverde S; González-Villà S; Bernal J; Cabezas M; Oliver A; Lladó X
    Med Image Anal; 2018 Aug; 48():177-186. PubMed ID: 29935442
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
    Thaha MM; Kumar KPM; Murugan BS; Dhanasekeran S; Vijayakarthick P; Selvi AS
    J Med Syst; 2019 Jul; 43(9):294. PubMed ID: 31342192
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Analysis of intensity normalization for optimal segmentation performance of a fully convolutional neural network.
    Jacobsen N; Deistung A; Timmann D; Goericke SL; Reichenbach JR; Güllmar D
    Z Med Phys; 2019 May; 29(2):128-138. PubMed ID: 30579766
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor.
    Murmu A; Kumar P
    Med Biol Eng Comput; 2023 Aug; 61(8):2115-2138. PubMed ID: 37338739
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Magnetic Resonance Imaging Images Based Brain Tumor Extraction, Segmentation and Detection Using Convolutional Neural Network and VGC 16 Model.
    Shunmugavel G; Suriyan K; Arumugam J
    Am J Clin Oncol; 2024 Jul; 47(7):339-349. PubMed ID: 38632686
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Deep learning-based convolutional neural network for intramodality brain MRI synthesis.
    Osman AFI; Tamam NM
    J Appl Clin Med Phys; 2022 Apr; 23(4):e13530. PubMed ID: 35044073
    [TBL] [Abstract][Full Text] [Related]  

  • 32. QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy.
    Guha Roy A; Conjeti S; Navab N; Wachinger C;
    Neuroimage; 2019 Feb; 186():713-727. PubMed ID: 30502445
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Brain MR image simulation for deep learning based medical image analysis networks.
    Ayaz A; Al Khalil Y; Amirrajab S; Lorenz C; Weese J; Pluim J; Breeuwer M
    Comput Methods Programs Biomed; 2024 May; 248():108115. PubMed ID: 38503072
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
    Burton W; Myers C; Rullkoetter P
    Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Image Features of Magnetic Resonance Imaging under the Deep Learning Algorithm in the Diagnosis and Nursing of Malignant Tumors.
    Sun L; Hu X; Liu Y; Cai H
    Contrast Media Mol Imaging; 2021; 2021():1104611. PubMed ID: 34548850
    [TBL] [Abstract][Full Text] [Related]  

  • 36. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
    Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
    Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
    [TBL] [Abstract][Full Text] [Related]  

  • 37. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
    Mutasa S; Chang PD; Ruzal-Shapiro C; Ayyala R
    J Digit Imaging; 2018 Aug; 31(4):513-519. PubMed ID: 29404850
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization.
    Natarajan A; Kumarasamy S
    J Med Syst; 2019 Jan; 43(2):25. PubMed ID: 30604101
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models.
    Karimi D; Samei G; Kesch C; Nir G; Salcudean SE
    Int J Comput Assist Radiol Surg; 2018 Aug; 13(8):1211-1219. PubMed ID: 29766373
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 106.