Artificial neural networks as a prognostic tool using hyperspectral imaging on pretherapeutic histopathological specimens of esophageal adenocarcinoma

Abstract Purpose The integration of artificial intelligence (AI) with hyperspectral imaging (HSI) offers a promising avenue for improving pre-therapeutic prognosis, a key factor in optimizing cancer treatment strategies. This study explores the potential of artificial neural networks (ANNs) to predi...

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Autori principali:	Christel Teresa Trifone, Marianne Maktabi, Philipp Bischoff, Katrin Schierle, Stefan Niebisch, Yusef Moulla, Patrick Sven Plum, Boris Jansen-Winkeln, Ines Gockel, René Thieme
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2025-10-01
Serie:	Journal of Cancer Research and Clinical Oncology
Soggetti:	Esophageal adenocarcinoma Hyperspectral imaging (HSI) Therapy prediction Digital pathology Personalized treatment
Accesso online:	https://doi.org/10.1007/s00432-025-06340-5
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