Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries

The integration of Context-Aware Systems (CASs) in Future Operating Rooms (FORs) aims to enhance surgical workflows and outcomes through real-time data analysis. CASs require accurate classification of surgical tools, enabling the understanding of surgical actions. This study proposes a novel deep l...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Hisham ElMoaqet, Hamzeh Qaddoura, Mutaz Ryalat, Natheer Almtireen, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Thomas Neumuth, Knut Moeller
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-05-01
Edice:	Applied Sciences
Témata:	surgical tool classification context-aware systems tool classification feature fusion long-short-term-memory
On-line přístup:	https://www.mdpi.com/2076-3417/15/11/6121
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!