نتائج البحث

Weibull parametric model for survival analysis in women with endometrial cancer using clinical and T2-weighted MRI radiomic features.

• Authors : Li X; Department of Surgery and Cancer, Imperial College Hammersmith Campus, Du Cane Road, London, W12 0NN, UK.; Marcus D

Subjects: Endometrial Neoplasms*/Endometrial Neoplasms*/Endometrial Neoplasms*/mortality ; Endometrial Neoplasms*/Endometrial Neoplasms*/Endometrial Neoplasms*/diagnostic imaging ; Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods

• Source: BMC medical research methodology [BMC Med Res Methodol] 2024 May 09; Vol. 24 (1), pp. 107. Date of Electronic Publication: 2024 May 09.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm.

• Authors : Ledger A; Department of Development and Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000, Belgium.; Ceusters J

Subjects: Ovarian Neoplasms*/Ovarian Neoplasms*/Ovarian Neoplasms*/diagnostic imaging ; Ovarian Neoplasms*/Ovarian Neoplasms*/Ovarian Neoplasms*/pathology; Female

• Source: BMC medical research methodology [BMC Med Res Methodol] 2023 Nov 24; Vol. 23 (1), pp. 276. Date of Electronic Publication: 2023 Nov 24.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?

• Authors : Álvarez-Rodríguez L; Centro de Investigación CITIC, Universidade da Coruña, Campus de Elviña, A Coruña, 15071, Spain.; Grupo VARPA, Instituto de Investigación Biomédica de A Coruña (INIBIC), Universidade da Coruña, A Coruña, 15006, Spain.

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning* ; Pneumonia*

• Source: BMC medical research methodology [BMC Med Res Methodol] 2022 Apr 28; Vol. 22 (1), pp. 125. Date of Electronic Publication: 2022 Apr 28.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinuses.

• Authors : Hamidi O; Department of Science, Hamedan University of Technology, Hamedan, Iran.; Afrasiabi M

Subjects: Deep Learning*; Male ; Female

• Source: BMC medical research methodology [BMC Med Res Methodol] 2024 Feb 27; Vol. 24 (1), pp. 50. Date of Electronic Publication: 2024 Feb 27.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study.

• Authors : Zhong, Jingyu; Xing, Yue; Lu, Junjie

Subjects: ARTIFICIAL intelligence; COMPUTER-assisted image analysis (Medicine); LOGISTIC regression analysis

• Source: BMC Medical Research Methodology; 12/13/2023, Vol. 23 Issue 1, p1-13, 13p

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Meta-DiSc: a software for meta-analysis of test accuracy data.

• Authors : Zamora J; Clinical Biostatistics Unit, Ramón y Cajal Hospital, Spain. ; Abraira V

Subjects: Meta-Analysis as Topic* ; Research Design* ; Software*

• Source: BMC medical research methodology [BMC Med Res Methodol] 2006 Jul 12; Vol. 6, pp. 31. Date of Electronic Publication: 2006 Jul 12.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Sample size and power determination when limited preliminary information is available.

• Authors : McLaren, Christine E.¹ ; Wen-Pin Chen²; O'Sullivan, Thomas D.^3,4

• Source: BMC Medical Research Methodology. 4/26/2017, Vol. 17, p1-8. 8p. 2 Diagrams, 3 Charts, 2 Graphs.

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Optimal likelihood-ratio multiple testing with application to Alzheimer's disease and questionable dementia.

• Authors : Lee D; Department of Statistics, Ewha Womans University, Seoul, Korea. .; Kang H

Subjects: Alzheimer Disease/Alzheimer Disease/Alzheimer Disease/*diagnostic imaging ; Brain/Brain/Brain/*diagnostic imaging ; Dementia/Dementia/Dementia/*diagnostic imaging

• Source: BMC medical research methodology [BMC Med Res Methodol] 2015 Jan 30; Vol. 15, pp. 9. Date of Electronic Publication: 2015 Jan 30.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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Prediction of intracranial findings on CT-scans by alternative modelling techniques.

• Source: BMC Medical Research Methodology. 2011, Vol. 11 Issue 1, p143-152. 10p. 5 Diagrams, 5 Charts.

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Using ordinal logistic regression to evaluate the performance of laser-Doppler predictions of burn-healing time.

• Authors : Baker RD; Centre for Operational Research and Applied Statistics, University of Salford, Salford M54WT, UK. ; Weinand C

Subjects: Laser-Doppler Flowmetry* ; Logistic Models* ; Wound Healing*

• Source: BMC medical research methodology [BMC Med Res Methodol] 2009 Feb 16; Vol. 9, pp. 11. Date of Electronic Publication: 2009 Feb 16.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium:

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