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Izvirni znanstveni članek
Oznake: medicinska fizika;hiperspektralno slikanje;nevronske mreže;medical physics;hyperspectral imaging;neural networks;
Significance: Machine learning models for the direct extraction of tissue parameters from hyperspectral images have been extensively researched recently, as they represent a faster alternative to the well-known iterative methods such as inverse Monte Carlo and inverse adding-doubling (IAD). Aim: We ...
Leto: 2025 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Izvirni znanstveni članek
Oznake: medicinska fizika;hiperspektralno slikanje;tumorji;strojno učenje;medical physics;hyperspectral imaging;tissue index images;tumors;machine learning;
Background: Skin lesions associated with head and neck carcinomas present a diagnostic challenge. Conventional imaging methods, such as dermoscopy and RGB imaging, often face limitations in providing detailed information about skin lesions and accurately differentiating tumor tissue from healthy ski ...
Leto: 2025 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Št. zadetkov: 2
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