BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 38076518)

  • 1. Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).
    Shenouda M; Gudmundsson E; Li F; Straus CM; Kindler HL; Dudek AZ; Stinchcombe T; Wang X; Starkey A; Armato SG
    ArXiv; 2023 Nov; ():. PubMed ID: 38076518
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans.
    Gudmundsson E; Straus CM; Armato SG
    J Med Imaging (Bellingham); 2018 Jul; 5(3):034503. PubMed ID: 30840717
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion.
    Gudmundsson E; Straus CM; Li F; Armato SG
    J Med Imaging (Bellingham); 2020 Jan; 7(1):012705. PubMed ID: 32016133
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
    Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
    Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fully automated volumetric measurement of malignant pleural mesothelioma by deep learning AI: validation and comparison with modified RECIST response criteria.
    Kidd AC; Anderson O; Cowell GW; Weir AJ; Voisey JP; Evison M; Tsim S; Goatman KA; Blyth KG
    Thorax; 2022 Dec; 77(12):1251-1259. PubMed ID: 35110367
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Esophagus segmentation in CT via 3D fully convolutional neural network and random walk.
    Fechter T; Adebahr S; Baltas D; Ben Ayed I; Desrosiers C; Dolz J
    Med Phys; 2017 Dec; 44(12):6341-6352. PubMed ID: 28940372
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
    Tang X; Jafargholi Rangraz E; Coudyzer W; Bertels J; Robben D; Schramm G; Deckers W; Maleux G; Baete K; Verslype C; Gooding MJ; Deroose CM; Nuyts J
    Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2742-2752. PubMed ID: 32314026
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases.
    Lindgren Belal S; Sadik M; Kaboteh R; Enqvist O; Ulén J; Poulsen MH; Simonsen J; Høilund-Carlsen PF; Edenbrandt L; Trägårdh E
    Eur J Radiol; 2019 Apr; 113():89-95. PubMed ID: 30927965
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
    Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
    Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam computed tomography.
    Abbani N; Baudier T; Rit S; Franco FD; Okoli F; Jaouen V; Tilquin F; Barateau A; Simon A; de Crevoisier R; Bert J; Sarrut D
    Med Phys; 2022 Nov; 49(11):6930-6944. PubMed ID: 36000762
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated segmentation of the human supraclavicular fat depot via deep neural network in water-fat separated magnetic resonance images.
    Zhao Y; Tang C; Cui B; Somasundaram A; Raspe J; Hu X; Holzapfel C; Junker D; Hauner H; Menze B; Wu M; Karampinos D
    Quant Imaging Med Surg; 2023 Jul; 13(7):4699-4715. PubMed ID: 37456284
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies.
    Vivanti R; Joskowicz L; Lev-Cohain N; Ephrat A; Sosna J
    Med Biol Eng Comput; 2018 Sep; 56(9):1699-1713. PubMed ID: 29524116
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of fully automated myocardial segmentation techniques in native and contrast-enhanced T1-mapping cardiovascular magnetic resonance images using fully convolutional neural networks.
    Farrag NA; Lochbihler A; White JA; Ukwatta E
    Med Phys; 2021 Jan; 48(1):215-226. PubMed ID: 33131085
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI.
    Rahimpour M; Saint Martin MJ; Frouin F; Akl P; Orlhac F; Koole M; Malhaire C
    Eur Radiol; 2023 Feb; 33(2):959-969. PubMed ID: 36074262
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Polycystic liver: automatic segmentation using deep learning on CT is faster and as accurate compared to manual segmentation.
    Cayot B; Milot L; Nempont O; Vlachomitrou AS; Langlois-Jacques C; Dumortier J; Boillot O; Arnaud K; Barten TRM; Drenth JPH; Valette PJ
    Eur Radiol; 2022 Jul; 32(7):4780-4790. PubMed ID: 35142898
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT.
    Bruns S; Wolterink JM; Takx RAP; van Hamersvelt RW; Suchá D; Viergever MA; Leiner T; Išgum I
    Med Phys; 2020 Oct; 47(10):5048-5060. PubMed ID: 32786071
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-organ segmentation of CT via convolutional neural network: impact of training setting and scanner manufacturer.
    Weisman AJ; Huff DT; Govindan RM; Chen S; Perk TG
    Biomed Phys Eng Express; 2023 Oct; 9(6):. PubMed ID: 37725928
    [No Abstract]   [Full Text] [Related]  

  • 18. Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep Learning.
    Pennig L; Hoyer UCI; Goertz L; Shahzad R; Persigehl T; Thiele F; Perkuhn M; Ruge MI; Kabbasch C; Borggrefe J; Caldeira L; Laukamp KR
    J Magn Reson Imaging; 2021 Jan; 53(1):259-268. PubMed ID: 32662130
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth.
    Sartor H; Minarik D; Enqvist O; Ulén J; Wittrup A; Bjurberg M; Trägårdh E
    Clin Transl Radiat Oncol; 2020 Nov; 25():37-45. PubMed ID: 33005756
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computerized segmentation and measurement of malignant pleural mesothelioma.
    Sensakovic WF; Armato SG; Straus C; Roberts RY; Caligiuri P; Starkey A; Kindler HL
    Med Phys; 2011 Jan; 38(1):238-44. PubMed ID: 21361192
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.