2 papers
eess.IV2020
Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
Marcel Bengs, Nils Gessert, Wiebke Laffers +6
Early detection of cancerous tissue is crucial for long-term patient survival. In the head and neck region, a typical diagnostic procedure is an endoscopic intervention where a med…
eess.IV2020
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
Marcel Bengs, Stephan Westermann, Nils Gessert +6
Early detection of head and neck tumors is crucial for patient survival. Often, diagnoses are made based on endoscopic examination of the larynx followed by biopsy and histological…