168 related articles for article (PubMed ID: 37766009)
1. Performance Analysis of Six Semi-Automated Tumour Delineation Methods on [
Bianconi F; Salis R; Fravolini ML; Khan MU; Minestrini M; Filippi L; Marongiu A; Nuvoli S; Spanu A; Palumbo B
Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37766009
[No Abstract] [Full Text] [Related]
2. A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in [Formula: see text]F]FDG PET/CT.
Nikulin P; Zschaeck S; Maus J; Cegla P; Lombardo E; Furth C; Kaźmierska J; Rogasch JMM; Holzgreve A; Albert NL; Ferentinos K; Strouthos I; Hajiyianni M; Marschner SN; Belka C; Landry G; Cholewinski W; Kotzerke J; Hofheinz F; van den Hoff J
Eur J Nucl Med Mol Imaging; 2023 Jul; 50(9):2751-2766. PubMed ID: 37079128
[TBL] [Abstract][Full Text] [Related]
3. Comparison of semi-automatic and manual segmentation methods for tumor delineation on head and neck squamous cell carcinoma (HNSCC) positron emission tomography (PET) images.
Philip MM; Watts J; Moeini SNM; Musheb M; McKiddie F; Welch A; Nath M
Phys Med Biol; 2024 Apr; 69(9):. PubMed ID: 38530298
[No Abstract] [Full Text] [Related]
4. Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images.
Wang Y; Lombardo E; Huang L; Avanzo M; Fanetti G; Franchin G; Zschaeck S; Weingärtner J; Belka C; Riboldi M; Kurz C; Landry G
Radiat Oncol; 2024 Jan; 19(1):3. PubMed ID: 38191431
[TBL] [Abstract][Full Text] [Related]
5. Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms.
Shiri I; Arabi H; Sanaat A; Jenabi E; Becker M; Zaidi H
Clin Nucl Med; 2021 Nov; 46(11):872-883. PubMed ID: 34238799
[TBL] [Abstract][Full Text] [Related]
6. Use of Diffusion-Weighted Imaging and
Noij DP; Martens RM; Koopman T; Hoekstra OS; Comans EFI; Zwezerijnen B; de Bree R; de Graaf P; Castelijns JA
Clin Oncol (R Coll Radiol); 2018 Dec; 30(12):780-792. PubMed ID: 30318343
[TBL] [Abstract][Full Text] [Related]
7. Quantifying the robustness of [
Belli ML; Mori M; Broggi S; Cattaneo GM; Bettinardi V; Dell'Oca I; Fallanca F; Passoni P; Vanoli EG; Calandrino R; Di Muzio N; Picchio M; Fiorino C
Phys Med; 2018 May; 49():105-111. PubMed ID: 29866335
[TBL] [Abstract][Full Text] [Related]
8. Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data.
Beichel RR; Smith BJ; Bauer C; Ulrich EJ; Ahmadvand P; Budzevich MM; Gillies RJ; Goldgof D; Grkovski M; Hamarneh G; Huang Q; Kinahan PE; Laymon CM; Mountz JM; Muzi JP; Muzi M; Nehmeh S; Oborski MJ; Tan Y; Zhao B; Sunderland JJ; Buatti JM
Med Phys; 2017 Feb; 44(2):479-496. PubMed ID: 28205306
[TBL] [Abstract][Full Text] [Related]
9. Automated detection, delineation and quantification of whole-body bone metastasis using FDG-PET/CT images.
Nigam R; Field M; Harris G; Barton M; Carolan M; Metcalfe P; Holloway L
Phys Eng Sci Med; 2023 Jun; 46(2):851-863. PubMed ID: 37126152
[TBL] [Abstract][Full Text] [Related]
10. Machine-learned target volume delineation of
Parkinson C; Evans M; Guerrero-Urbano T; Michaelidou A; Pike L; Barrington S; Jayaprakasam V; Rackley T; Palaniappan N; Staffurth J; Marshall C; Spezi E
Phys Med; 2019 May; 61():85-93. PubMed ID: 31151585
[TBL] [Abstract][Full Text] [Related]
11. Tumour delineation in oesophageal cancer - A prospective study of delineation in PET and CT with and without endoscopically placed clip markers.
Thomas L; Lapa C; Bundschuh RA; Polat B; Sonke JJ; Guckenberger M
Radiother Oncol; 2015 Aug; 116(2):269-75. PubMed ID: 26364886
[TBL] [Abstract][Full Text] [Related]
12. Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.
Oreiller V; Andrearczyk V; Jreige M; Boughdad S; Elhalawani H; Castelli J; Vallières M; Zhu S; Xie J; Peng Y; Iantsen A; Hatt M; Yuan Y; Ma J; Yang X; Rao C; Pai S; Ghimire K; Feng X; Naser MA; Fuller CD; Yousefirizi F; Rahmim A; Chen H; Wang L; Prior JO; Depeursinge A
Med Image Anal; 2022 Apr; 77():102336. PubMed ID: 35016077
[TBL] [Abstract][Full Text] [Related]
13. Correlation between fluorodeoxyglucose hotspots on pretreatment positron emission tomography/CT and preferential sites of local relapse after chemoradiotherapy for head and neck squamous cell carcinoma.
Chaput A; Calais J; Robin P; Thureau S; Bourhis D; Modzelewski R; Schick U; Vera P; Salaün PY; Abgral R
Head Neck; 2017 Jun; 39(6):1155-1165. PubMed ID: 28263422
[TBL] [Abstract][Full Text] [Related]
14. A gel tumour phantom for assessment of the accuracy of manual and automatic delineation of gross tumour volume from FDG-PET/CT.
Skretting A; Evensen JF; Løndalen AM; Bogsrud TV; Glomset OK; Eilertsen K
Acta Oncol; 2013 Apr; 52(3):636-44. PubMed ID: 23075421
[TBL] [Abstract][Full Text] [Related]
15. Pathology-based validation of FDG PET segmentation tools for volume assessment of lymph node metastases from head and neck cancer.
Schinagl DA; Span PN; van den Hoogen FJ; Merkx MA; Slootweg PJ; Oyen WJ; Kaanders JH
Eur J Nucl Med Mol Imaging; 2013 Dec; 40(12):1828-35. PubMed ID: 23942906
[TBL] [Abstract][Full Text] [Related]
16. Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study.
Huang B; Chen Z; Wu PM; Ye Y; Feng ST; Wong CO; Zheng L; Liu Y; Wang T; Li Q; Huang B
Contrast Media Mol Imaging; 2018; 2018():8923028. PubMed ID: 30473644
[TBL] [Abstract][Full Text] [Related]
17. Tumor volume delineation in head and neck cancer with 18-fluor-fluorodeoxiglucose positron emission tomography: adaptive thresholding method applied to primary tumors and metastatic lymph nodes.
Perez-Romasanta LA; Bellon-Guardia M; Torres-Donaire J; Lozano-Martin E; Sanz-Martin M; Velasco-Jimenez J
Clin Transl Oncol; 2013 Apr; 15(4):283-93. PubMed ID: 22865325
[TBL] [Abstract][Full Text] [Related]
18. The validation of low-dose CT scans from the [
Zwart AT; Cavalheiro VJ; Lamers MJ; Dierckx RAJO; de Bock GH; Halmos GB; van der Hoorn A
Eur J Nucl Med Mol Imaging; 2023 May; 50(6):1735-1742. PubMed ID: 36781423
[TBL] [Abstract][Full Text] [Related]
19. [F18] FDG-PET/CT for manual or semiautomated GTV delineation of the primary tumor for radiation therapy planning in patients with esophageal cancer: is it useful?
Walter F; Jell C; Zollner B; Andrae C; Gerum S; Ilhan H; Belka C; Niyazi M; Roeder F
Strahlenther Onkol; 2021 Sep; 197(9):780-790. PubMed ID: 33104815
[TBL] [Abstract][Full Text] [Related]
20. Comparison of five segmentation tools for 18F-fluoro-deoxy-glucose-positron emission tomography-based target volume definition in head and neck cancer.
Schinagl DA; Vogel WV; Hoffmann AL; van Dalen JA; Oyen WJ; Kaanders JH
Int J Radiat Oncol Biol Phys; 2007 Nov; 69(4):1282-9. PubMed ID: 17967318
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
