1. Deep learning for brain MRI tissue and structure segmentation : a comprehensive reviewNedim Šišić, Peter Rogelj, 2025, pregledni znanstveni članek Opis: Brain MRI segmentation plays a crucial role in neuroimaging studies and clinical trials by enabling the precise localization and quantification of brain tissues and structures. The advent of deep learning has transformed the field, offering accurate and fast tools for MRI segmentation. Nevertheless, several challenges limit the widespread applicability of these methods in practice. In this systematic review, we provide a comprehensive analysis of developments in deep learning-based segmentation of brain MRI in adults, segmenting the brain into tissues, structures, and regions of interest. We explore the key model factors influencing segmentation performance, including architectural design, choice of input size and model dimensionality, and generalization strategies. Furthermore, we address validation practices, which are particularly important given the scarcity of manual annotations, and identify the limitations of current methodologies. We present an extensive compilation of existing segmentation works and highlight the emerging trends and key results. Finally, we discuss the challenges and potential future directions in the field.
Ključne besede: magnetic resonance imaging, brain, image segmentation, deep learning
Objavljeno v RUP: 10.10.2025; Ogledov: 634; Prenosov: 7
 Celotno besedilo (956,69 KB)
Gradivo ima več datotek! Več... |
2. |
3. Kidney segmentation in renal magnetic resonance imaging - current status and prospectsFrank G. Zöllner, Marek Kociński, Laura L. Hansen, Alena-Kathrin Golla, Amira Šerifović-Trbalić, A. Lundervold, Andrzej Materka, Peter Rogelj, 2021, pregledni znanstveni članek Ključne besede: renal MRI, image segmentation, deep learning
Objavljeno v RUP: 04.06.2021; Ogledov: 3249; Prenosov: 48
 Povezava na celotno besedilo |
4. |
5. Levelling the playing field : the effects of Slovenia's 2013 labour market reformMatija Vodopivec, Suzana Laporšek, Milan Vodopivec, 2016, elaborat, predštudija, študija Ključne besede: varovanje zaposlitve, dinamika trga dela, segmentacija trga dela, employment protection legislation, labor market dynamics, labor market segmentation
Objavljeno v RUP: 08.08.2016; Ogledov: 5499; Prenosov: 91
Povezava na celotno besedilo |
6. Ellipsoid segmentation model for analyzing light-attenuated 3D confocal image stacks of fluorescent multi-cellular spheroidsMichaël Barbier, Steffen Jaensch, Frans Cornelissen, Suzana Vidic, Kjersti Gjerde, Ronald de Hoogt, Ralph Graeser, Emmanuel Gustin, Yolanda T. Chong, 2016, izvirni znanstveni članek Ključne besede: 3D models, segmentation, confocal microscope, image analysis, fluorescence
Objavljeno v RUP: 08.08.2016; Ogledov: 4389; Prenosov: 180
Povezava na celotno besedilo |
7. |
8. |
