Texture analysis and classification in coherent anti-Stokes Raman scattering (CARS) microscopy images for automated detection of skin cancer
Basal cell carcinoma (BCC) – which originate from basal cells – is the most frequent cancer in humans [1]. The diagnostics of this tumor can be highly complicated because of its diverse morphological manifestation [2]. Currently, the skin cancer is diagnosed – additionally to visual inspection – by a punch biopsy with subsequent histopathological analysis of H&E stained tissue sections [3,4]. This procedure is invasive, time-consuming and associated with high costs. However, early tumor detection is crucial for successful medical treatment and increase of survival rates [5].
Source: Computerized Medical Imaging and Graphics - Category: Radiology Authors: Fisseha Bekele Legesse, Anna Medyukhina, Sandro Heuke, Jürgen Popp Source Type: research
More News: Basal Cell Carcinoma | Cancer | Cancer & Oncology | Carcinoma | Computers | Radiology | Skin | Skin Biopsy | Skin Cancer