A review on biomedical image analysis

S Renukalatha, KV Suresh - Biomedical Engineering: Applications …, 2018 - World Scientific
Bio-medical image analysis is an interdisciplinary field which includes: biology, physics,
medicine and engineering. It deals with application of image processing techniques to …

[HTML][HTML] A fuzzy shape representation of a segmented vessel tree and kernel-induced random forest classifier for the efficient prediction of lung cancer

P Deepa, M Suganthi - The Journal of Supercomputing, 2020 - Springer
An intelligent clinical decision support system is proposed classifying lung nodules for lung
cancer prediction using a kernel-induced random forest classifier. A contourlet filter is used …

Edge detection in Low-quality medical images based on augmented lagrangian method and B-spline

VTH Tuyet, NT Binh, NC Thanh - 7th International Conference on the …, 2020 - Springer
Medical images are very important for the treatment process of specialists because of
containing a lot of important information in patient's body. The edge detection is a prepared …

Medical image enhancement based on New anisotropic diffusion function

S Tebini, H Seddik, EB Braiek - 2017 14th International Multi …, 2017 - ieeexplore.ieee.org
Regarding to the problems that can be encountered in the analysis step of medical images,
removing noise is an important processing for better diagnosis. This work deals with a new …

[PDF][PDF] Object Contour in Low Quality Medical Images in Curvelet Domain

VTH Tuyet, TB Nguyen - International Journal of Advanced …, 2018 - researchgate.net
The diagnosis and treatment are very important for extending the life of patients. The small
abnormalities may also be manifestations of the diseases. One of the abnormalities is the …