56 related articles for article (PubMed ID: 38468050)
1. Uncommon Cranial Meningioma: Key Imaging Features on Conventional and Advanced Imaging.
Zakhari N; Torres C; Castillo M; Nguyen TB
Clin Neuroradiol; 2017 Jun; 27(2):135-144. PubMed ID: 28466126
[TBL] [Abstract][Full Text] [Related]
2. Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis.
Jang K; Russo C; Di Ieva A
Neuroradiology; 2020 Jul; 62(7):771-790. PubMed ID: 32249351
[TBL] [Abstract][Full Text] [Related]
3. Fractal-Based Analysis of Histological Features of Brain Tumors.
Al-Kadi OS; Di Ieva A
Adv Neurobiol; 2024; 36():501-524. PubMed ID: 38468050
[TBL] [Abstract][Full Text] [Related]
4. Diagnostic Value of Fractal Analysis for the Differentiation of Brain Tumors Using 3-Tesla Magnetic Resonance Susceptibility-Weighted Imaging.
Di Ieva A; Le Reste PJ; Carsin-Nicol B; Ferre JC; Cusimano MD
Neurosurgery; 2016 Dec; 79(6):839-846. PubMed ID: 27332779
[TBL] [Abstract][Full Text] [Related]
5. Nuclear spatial and spectral features based evolutionary method for meningioma subtypes classification in histopathology.
Fatima K; Majeed H; Irshad H
Microsc Res Tech; 2017 Aug; 80(8):851-861. PubMed ID: 28379628
[TBL] [Abstract][Full Text] [Related]
6. Magnetic resonance imaging-based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade.
Park YW; Kim S; Ahn SS; Han K; Kang SG; Chang JH; Kim SH; Lee SK; Park SH
Eur Radiol; 2020 Aug; 30(8):4615-4622. PubMed ID: 32274524
[TBL] [Abstract][Full Text] [Related]
7. Heterogeneous Tissue Characterization Using Ultrasound: A Comparison of Fractal Analysis Backscatter Models on Liver Tumors.
Al-Kadi OS; Chung DY; Coussios CC; Noble JA
Ultrasound Med Biol; 2016 Jul; 42(7):1612-26. PubMed ID: 27056610
[TBL] [Abstract][Full Text] [Related]
8. A Complete Color Normalization Approach to Histopathology Images Using Color Cues Computed From Saturation-Weighted Statistics.
Li X; Plataniotis KN
IEEE Trans Biomed Eng; 2015 Jul; 62(7):1862-73. PubMed ID: 25706507
[TBL] [Abstract][Full Text] [Related]
9. Discriminatory ability of fractal and grey level co-occurrence matrix methods in structural analysis of hippocampus layers.
Pantic I; Dacic S; Brkic P; Lavrnja I; Jovanovic T; Pantic S; Pekovic S
J Theor Biol; 2015 Apr; 370():151-6. PubMed ID: 25665716
[TBL] [Abstract][Full Text] [Related]
10. Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization.
Al-Kadi OS; Chung DY; Carlisle RC; Coussios CC; Noble JA
Med Image Anal; 2015 Apr; 21(1):59-71. PubMed ID: 25595523
[TBL] [Abstract][Full Text] [Related]
11. Staining correction in digital pathology by utilizing a dye amount table.
Bautista PA; Yagi Y
J Digit Imaging; 2015 Jun; 28(3):283-94. PubMed ID: 25561073
[TBL] [Abstract][Full Text] [Related]
12. A new texture and shape based technique for improving meningioma classification.
Fatima K; Arooj A; Majeed H
Microsc Res Tech; 2014 Nov; 77(11):862-73. PubMed ID: 25060536
[TBL] [Abstract][Full Text] [Related]
13. A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours.
Al-Kadi OS
Comput Med Imaging Graph; 2015 Apr; 41():67-79. PubMed ID: 24962336
[TBL] [Abstract][Full Text] [Related]
14. A review on color normalization and color deconvolution methods in histopathology.
Onder D; Zengin S; Sarioglu S
Appl Immunohistochem Mol Morphol; 2014; 22(10):713-9. PubMed ID: 24897076
[TBL] [Abstract][Full Text] [Related]
15.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
