Abstract
A state of the art on the actual methods for automatic video processing is necessary, toward further development of research methods in computer assisted diagnosis and image analysis regarding the pathology of the lower gastrointestinal tract. Automatic analysis of these types of video frames might be useful in the evaluation of the correctness of the procedure, in diagnosis confirmation or verification, in e-learning, in computing statistics regarding the recurrence in time of the malignant polyps, after colonoscopy investigations and eventually, polyp or adenoma resection. New technologies were developed such as autofluorescence imaging, chromoendoscopy, narrow band imaging, etc., based on the different proprieties of the hemoglobin, blood vessels or conspicuous textures of membranes to reflect certain wavelengths of light. A discussion on the new implementations in this domain is necessary before any other attempt of new research.
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Luca, M., Barbu, T., Ciobanu, A. (2021). An Overview on Computer Processing for Endoscopy and Colonoscopy Videos. In: Balas, V., Jain, L., Balas, M., Shahbazova, S. (eds) Soft Computing Applications. SOFA 2018. Advances in Intelligent Systems and Computing, vol 1222. Springer, Cham. https://doi.org/10.1007/978-3-030-52190-5_1
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