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 …
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 …
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
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 …
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 …
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
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 …
abnormalities may also be manifestations of the diseases. One of the abnormalities is the …