Evaluation of deep neural network architectures in the identification of bone fissures
F Martínez, C Hernández… - … Electronics and Control), 2020 - telkomnika.uad.ac.id
Automated medical image processing, particularly of radiological images, can reduce the
number of diagnostic errors, increase patient care and reduce medical costs. This paper …
number of diagnostic errors, increase patient care and reduce medical costs. This paper …
Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT
Statistical Region Merging technique belongs to the portfolio of very successful image
segmentation methods across diverse domains and applications. The method is based on a …
segmentation methods across diverse domains and applications. The method is based on a …
Paediatric Liver Segmentation for Low-Contrast CT Images
CT images from combined PET-CT scanners are of low contrast. Automatic organ
segmentation on these images are challenging. This paper proposed an adaptive kernel …
segmentation on these images are challenging. This paper proposed an adaptive kernel …