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Brain Tumor Diagnosis Using Sparrow Search Algorithm Based Deep Learning Model.

• Authors : Rajathi, G. Ignisha; Kumar, R. Ramesh; Ravikumar, D.

Subjects: DEEP learning; BRAIN tumor diagnosis; INTERNET of things

• Source: Computer Systems Science & Engineering; 2023, Vol. 44 Issue 2, p1793-1806, 14p

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Reports Summarize Brain Cancer Research from Najran University (Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability).

• Source: Health & Medicine Week. 2024, pages. 4650

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Reports Outline Brain Cancer Findings from COMSATS University Islamabad (Role of Exosomal Mirna-19a/19b and Pten In Brain Tumor Diagnosis)

• Source: Obesity, Fitness & Wellness Week. September 16, 2023, 4061

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RETRACTED: Brain tumor diagnosis from MRI based on Amended Water Strider Algorithm.

• Source: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine [Proc Inst Mech Eng H] 2024 Apr; Vol. 238 (4), pp. NP2. Date of Electronic Publisher: Sage Country of Publication: England NLM ID: 8908934 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2041-3033

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Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment.

• Authors : Khalighi S; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.; Reddy K

• Source: NPJ precision oncology [NPJ Precis Oncol] 2024 Mar 29; Vol. 8 (1), pp. 80. Date of Electronic Publication: 2024 Mar 29.Publisher: Springer Nature Country of Publication: England NLM ID: 101708166 Publication Model: Electronic Cited Medium: Print ISSN: 2397-768X

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A prospective multicenter assessor blinded pilot study using confocal laser endomicroscopy for intraoperative brain tumor diagnosis.

• Authors : Byun YH; Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.; Won JK

Subjects: Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/diagnostic imaging ; Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/surgery; Humans

• Source: Scientific reports [Sci Rep] 2024 Mar 21; Vol. 14 (1), pp. 6784. Date of Electronic Publication: 2024 Mar 21.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Looking beyond year 1 in the molecular era of pediatric brain tumor diagnosis: confirmatory testing of germline variants found on tumor sequencing.

• Authors : Greene BL; Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, WA, United States.; Department of Pediatrics, University of Washington, Seattle, WA, United States.

• Source: Frontiers in oncology [Front Oncol] 2024 Mar 06; Vol. 14, pp. 1338022. Date of Electronic Publication: 2024 Mar 06 (Print Publication: 2024).Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print

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Achieving imaging and computational reproducibility on multiparametric MRI radiomics features in brain tumor diagnosis: phantom and clinical validation.

• Authors : Cheong EN; Department of Medical Science and Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.; Park JE

Subjects: Multiparametric Magnetic Resonance Imaging*/Multiparametric Magnetic Resonance Imaging*/Multiparametric Magnetic Resonance Imaging*/methods ; Glioblastoma*/Glioblastoma*/Glioblastoma*/diagnostic imaging ; Glioblastoma*/Glioblastoma*/Glioblastoma*/pathology

• Source: European radiology [Eur Radiol] 2024 Mar; Vol. 34 (3), pp. 2008-2023. Date of Electronic Publication: 2023 Sep 04.Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Corrigendum: Clinical feasibility of miniaturized Lissajous scanning confocal laser endomicroscopy for indocyanine green-enhanced brain tumor diagnosis.

• Authors : Hong DH; Department of Neurosurgery, Korea University Hospital, Korea University College of Medicine, Seoul, Republic of Korea.; Kim JH

• Source: Frontiers in oncology [Front Oncol] 2024 Feb 13; Vol. 14, pp. 1375620. Date of Electronic Publication: 2024 Feb 13 (Print Publication: 2024).Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print

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Findings on Brain Cancer Detailed by Investigators at Peking University Cancer Hospital and Institute (A Bis-boron Boramino Acid Pet Tracer for Brain Tumor Diagnosis).

• Source: Health & Medicine Week. 2024, pages. 2196

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