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Academic Journal

Impact of SUSAN Denoising and ComBat Harmonization on Machine Learning Model Performance for Malignant Brain Neoplasms.

  • Authors : Bathla G; From the Department of Radiology (G.B., N.S.), University of Iowa Hospitals and Clinics, Iowa City, Iowa .; Department of Radiology (G.B., I.T.M., J.C.B.), Mayo Clinic, Rochester, Minnesota.

Subjects: Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/diagnostic imaging ; Machine Learning* ; Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods

  • Source: AJNR. American journal of neuroradiology [AJNR Am J Neuroradiol] 2024 Sep 09; Vol. 45 (9), pp. 1291-1298. Date of Electronic Publication: 2024 Sep 09.Publisher: American Society of Neuroradiology Country of Publication: United States NLM ID: 8003708 Publication Model: Electronic Cited Medium: Internet

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Academic Journal

Cross-Sectional Imaging Characteristics of Pancreatic Intraductal Oncocytic Papillary Neoplasms.

  • Authors : Iranpour N; From the Department of Radiology, Stanford University, Stanford, CA.; Singhi A

Subjects: Pancreatic Neoplasms*/Pancreatic Neoplasms*/Pancreatic Neoplasms*/diagnostic imaging ; Pancreatic Neoplasms*/Pancreatic Neoplasms*/Pancreatic Neoplasms*/pathology ; Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/methods

  • Source: Journal of computer assisted tomography [J Comput Assist Tomogr] 2024 Sep-Oct 01; Vol. 48 (5), pp. 743-748. Date of Electronic Publication: 2024 Apr 09.Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 7703942 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

To identify important MRI features to differentiate hepatic mucinous cystic neoplasms from septated hepatic cysts based on random forest.

  • Authors : Xiao SY; Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.; Xu JX

Subjects: Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Cysts*/Cysts*/Cysts*/diagnostic imaging ; Sensitivity and Specificity*

  • Source: Japanese journal of radiology [Jpn J Radiol] 2024 Aug; Vol. 42 (8), pp. 880-891. Date of Electronic Publication: 2024 Apr 26.Publisher: Springer Country of Publication: Japan NLM ID: 101490689 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-108X

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Academic Journal

Diagnostic Anatomic Imaging for Neuroendocrine Neoplasms: Maximizing Strengths and Mitigating Weaknesses.

  • Authors : Hesami M; From the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.; Blake M

Subjects: Neuroendocrine Tumors*/Neuroendocrine Tumors*/Neuroendocrine Tumors*/diagnostic imaging ; Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/methods

  • Source: Journal of computer assisted tomography [J Comput Assist Tomogr] 2024 Jul-Aug 01; Vol. 48 (4), pp. 521-532. Date of Electronic Publication: 2024 Mar 23.Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 7703942 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Abdominal ultrasound in the characterization of branch-duct intraductal papillary mucinous neoplasms: A new tool for surveillance of low-risk patients?

  • Authors : Ferronato M; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Internal Medicine Unit, Italy. Electronic address: .; Lizzio CE

Subjects: Magnetic Resonance Imaging* ; Ultrasonography*/Ultrasonography*/Ultrasonography*/methods ; Pancreatic Intraductal Neoplasms*/Pancreatic Intraductal Neoplasms*/Pancreatic Intraductal Neoplasms*/diagnostic imaging

  • Source: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver [Dig Liver Dis] 2024 Jun; Vol. 56 (6), pp.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 100958385 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN).

  • Authors : Flammia F; SIRM Foundation, Italian Society of Medical and Interventional Radiology (SIRM), Milan, Italy.; Fusco R

Subjects: Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Pancreatic Intraductal Neoplasms*/Pancreatic Intraductal Neoplasms*/Pancreatic Intraductal Neoplasms*/diagnostic imaging ; Pancreatic Intraductal Neoplasms*/Pancreatic Intraductal Neoplasms*/Pancreatic Intraductal Neoplasms*/pathology

  • Source: Cancer control : journal of the Moffitt Cancer Center [Cancer Control] 2024 Jan-Dec; Vol. 31, pp. 10732748241263644.Publisher: SAGE Publishing Country of Publication: United States NLM ID: 9438457 Publication Model: Print Cited Medium: Internet ISSN: 1526-2359

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Academic Journal

MR Imaging of Epithelial Ovarian Neoplasms Part II: Malignant.

  • Authors : Xu L; Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA. Electronic address: .; Lee SI

Subjects: Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Ovarian Neoplasms*/Ovarian Neoplasms*/Ovarian Neoplasms*/diagnostic imaging ; Ovarian Neoplasms*/Ovarian Neoplasms*/Ovarian Neoplasms*/pathology

  • Source: Magnetic resonance imaging clinics of North America [Magn Reson Imaging Clin N Am] 2023 Feb; Vol. 31 (1), pp. 53-64.Publisher: Saunders Country of Publication: United States NLM ID: 9422762 Publication Model: Print Cited Medium: Internet ISSN: 1557-9786

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Academic Journal

MR Imaging of Epithelial Ovarian Neoplasms Part I: Benign and Borderline.

  • Authors : Wahab SA; Department of Radiology, University of Cincinnati, 234 Goodman Street, Cincinnati, OH 45267-0761, USA. Electronic address: .; Tobler JJ

Subjects: Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Ovarian Neoplasms*/Ovarian Neoplasms*/Ovarian Neoplasms*/diagnostic imaging ; Ovarian Neoplasms*/Ovarian Neoplasms*/Ovarian Neoplasms*/pathology

  • Source: Magnetic resonance imaging clinics of North America [Magn Reson Imaging Clin N Am] 2023 Feb; Vol. 31 (1), pp. 43-52. Date of Electronic Publication: Publisher: Saunders Country of Publication: United States NLM ID: 9422762 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Radiomics Analysis for Predicting Malignant Potential of Intraductal Papillary Mucinous Neoplasms of the Pancreas: Comparison of CT and MRI.

  • Authors : Cheng S; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Nanjing 210029, China.; Shi H

Subjects: Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Pancreatic Intraductal Neoplasms*/Pancreatic Intraductal Neoplasms*/Pancreatic Intraductal Neoplasms*/diagnostic imaging ; Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/methods

  • Source: Academic radiology [Acad Radiol] 2022 Mar; Vol. 29 (3), pp. 367-375. Date of Electronic Publication: 2021 Jun 08.Publisher: Association Of University Radiologists Country of Publication: United States NLM ID: 9440159 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

MR imaging of Nasal and Paranasal Sinus Malignant Neoplasms.

  • Authors : Ginat DT; Department of Radiology, University of Chicago, Pritzker School of Medicine, 5841 South Maryland Avenue, Chicago, IL 60637, USA. Electronic address: .

Subjects: Magnetic Resonance Imaging* ; Paranasal Sinus Neoplasms*/Paranasal Sinus Neoplasms*/Paranasal Sinus Neoplasms*/diagnostic imaging; Diagnosis, Differential

  • Source: Magnetic resonance imaging clinics of North America [Magn Reson Imaging Clin N Am] 2022 Feb; Vol. 30 (1), pp. 73-80.Publisher: Saunders Country of Publication: United States NLM ID: 9422762 Publication Model: Print Cited Medium: Internet ISSN: 1557-9786

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  • 1-10 of  736 results for ""Neoplasms""