BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

120 related articles for article (PubMed ID: 36793398)

  • 1. Stress-testing pelvic autosegmentation algorithms using anatomical edge cases.
    Kanwar A; Merz B; Claunch C; Rana S; Hung A; Thompson RF
    Phys Imaging Radiat Oncol; 2023 Jan; 25():100413. PubMed ID: 36793398
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Autosegmentation based on different-sized training datasets of consistently-curated volumes and impact on rectal contours in prostate cancer radiation therapy.
    Elisabeth Olsson C; Suresh R; Niemelä J; Akram SU; Valdman A
    Phys Imaging Radiat Oncol; 2022 Apr; 22():67-72. PubMed ID: 35572041
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features.
    Macomber MW; Phillips M; Tarapov I; Jena R; Nori A; Carter D; Folgoc LL; Criminisi A; Nyflot MJ
    Phys Med Biol; 2018 Nov; 63(23):235002. PubMed ID: 30465543
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Clinical application and improvement of a CNN-based autosegmentation model for clinical target volumes in cervical cancer radiotherapy.
    Chang Y; Wang Z; Peng Z; Zhou J; Pi Y; Xu XG; Pei X
    J Appl Clin Med Phys; 2021 Nov; 22(11):115-125. PubMed ID: 34643320
    [TBL] [Abstract][Full Text] [Related]  

  • 5. General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis.
    Amjad A; Xu J; Thill D; Lawton C; Hall W; Awan MJ; Shukla M; Erickson BA; Li XA
    Med Phys; 2022 Mar; 49(3):1686-1700. PubMed ID: 35094390
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Transfer Learning-Based Autosegmentation of Primary Tumor Volumes of Glioblastomas Using Preoperative MRI for Radiotherapy Treatment.
    Tian S; Wang C; Zhang R; Dai Z; Jia L; Zhang W; Wang J; Liu Y
    Front Oncol; 2022; 12():856346. PubMed ID: 35494067
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of a delineation software for cardiac atlas-based autosegmentation: An example of the use of artificial intelligence in modern radiotherapy.
    Loap P; Tkatchenko N; Kirova Y
    Cancer Radiother; 2020 Dec; 24(8):826-833. PubMed ID: 33144062
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A multiphase validation of atlas-based automatic and semiautomatic segmentation strategies for prostate MRI.
    Martin S; Rodrigues G; Patil N; Bauman G; D'Souza D; Sexton T; Palma D; Louie AV; Khalvati F; Tizhoosh HR; Gaede S
    Int J Radiat Oncol Biol Phys; 2013 Jan; 85(1):95-100. PubMed ID: 22572076
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparative evaluation of a prototype deep learning algorithm for autosegmentation of normal tissues in head and neck radiotherapy.
    Koo J; Caudell JJ; Latifi K; Jordan P; Shen S; Adamson PM; Moros EG; Feygelman V
    Radiother Oncol; 2022 Sep; 174():52-58. PubMed ID: 35817322
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Technical note: Evaluation of a V-Net autosegmentation algorithm for pediatric CT scans: Performance, generalizability, and application to patient-specific CT dosimetry.
    Adamson PM; Bhattbhatt V; Principi S; Beriwal S; Strain LS; Offe M; Wang AS; Vo NJ; Gilat Schmidt T; Jordan P
    Med Phys; 2022 Apr; 49(4):2342-2354. PubMed ID: 35128672
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-institutional quantitative evaluation and clinical validation of Smart Probabilistic Image Contouring Engine (SPICE) autosegmentation of target structures and normal tissues on computer tomography images in the head and neck, thorax, liver, and male pelvis areas.
    Zhu M; Bzdusek K; Brink C; Eriksen JG; Hansen O; Jensen HA; Gay HA; Thorstad W; Widder J; Brouwer CL; Steenbakkers RJ; Vanhauten HA; Cao JQ; McBrayne G; Patel SH; Cannon DM; Hardcastle N; Tomé WA; Guckenberg M; Parikh PJ
    Int J Radiat Oncol Biol Phys; 2013 Nov; 87(4):809-16. PubMed ID: 24138920
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The effect of morphometric atlas selection on multi-atlas-based automatic brachial plexus segmentation.
    Van de Velde J; Wouters J; Vercauteren T; De Gersem W; Achten E; De Neve W; Van Hoof T
    Radiat Oncol; 2015 Dec; 10():260. PubMed ID: 26696278
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Assessment of accuracy and efficiency of atlas-based autosegmentation for prostate radiotherapy in a variety of clinical conditions.
    Simmat I; Georg P; Georg D; Birkfellner W; Goldner G; Stock M
    Strahlenther Onkol; 2012 Sep; 188(9):807-15. PubMed ID: 22669393
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer.
    Choi MS; Choi BS; Chung SY; Kim N; Chun J; Kim YB; Chang JS; Kim JS
    Radiother Oncol; 2020 Dec; 153():139-145. PubMed ID: 32991916
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and acceptability validation of a deep learning-based tool for whole-prostate segmentation on multiparametric MRI: a multicenter study.
    Xu L; Zhang G; Zhang D; Zhang J; Zhang X; Bai X; Chen L; Jin R; Mao L; Li X; Sun H; Jin Z
    Quant Imaging Med Surg; 2023 May; 13(5):3255-3265. PubMed ID: 37179941
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow.
    Kiser KJ; Barman A; Stieb S; Fuller CD; Giancardo L
    J Digit Imaging; 2021 Jun; 34(3):541-553. PubMed ID: 34027588
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy.
    Cha E; Elguindi S; Onochie I; Gorovets D; Deasy JO; Zelefsky M; Gillespie EF
    Radiother Oncol; 2021 Jun; 159():1-7. PubMed ID: 33667591
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical validation of atlas-based auto-segmentation of multiple target volumes and normal tissue (swallowing/mastication) structures in the head and neck.
    Teguh DN; Levendag PC; Voet PW; Al-Mamgani A; Han X; Wolf TK; Hibbard LS; Nowak P; Akhiat H; Dirkx ML; Heijmen BJ; Hoogeman MS
    Int J Radiat Oncol Biol Phys; 2011 Nov; 81(4):950-7. PubMed ID: 20932664
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Technical Note: A deep learning-based autosegmentation of rectal tumors in MR images.
    Wang J; Lu J; Qin G; Shen L; Sun Y; Ying H; Zhang Z; Hu W
    Med Phys; 2018 Jun; 45(6):2560-2564. PubMed ID: 29663417
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.