Predicting the Evolution of Lung Squamous Cell Carcinoma In Situ Using Computational Pathology

Lung squamous cell carcinoma in situ (SCIS) is the preinvasive precursor lesion of lung squamous cell carcinoma (SCC). Only around two-thirds of these lesions progress to invasive cancer, while one-third undergo spontaneous regression, which presents a significant clinical challenge due to the risk...

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Vydáno v:	Bioengineering (Basel) Ročník 12; číslo 4; s. 377
Hlavní autoři:	Vigdorovits, Alon, Olteanu, Gheorghe-Emilian, Tica, Ovidiu, Pascalau, Andrei, Boros, Monica, Pop, Ovidiu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 02.04.2025 MDPI
Témata:	Artificial neural networks Biopsy Bronchoscopy Business metrics Cancer computational pathology Computed tomography Computer applications Datasets Deep learning Evolution Histopathology Lesions Lung cancer Lung carcinoma Lungs Machine learning Medical imaging Medical imaging equipment Medical prognosis Medical research Medicine, Experimental Mutation Neural networks Optimization Pathology Recall Squamous cell carcinoma squamous cell carcinoma in situ Thoracic surgery Variables deep learning squamous cell carcinoma in situ computational pathology
ISSN:	2306-5354, 2306-5354
On-line přístup:	Získat plný text
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