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Initially deployed in lung cancer, Sheba will extend the use of Imagene's cross-modality intelligence engine and suite of tools across cancer indications.
Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality ...
Abstract: Proposed work implements ensemble-based deep learning methodologies for the classification of lung and colon cancer histopathology images. Leveraging the LC25000 dataset, consisting of ...
Abstract: Lung cancer poses a significant health challenge, with early detection being crucial for better outcomes. Traditional diagnostic methods have limitations, leading to missed diagnoses.