An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing

H Ren, L Zhou, G Liu, X Peng, W Shi… - … Imaging in Medicine …, 2020 - pmc.ncbi.nlm.nih.gov
Background Nowadays, computer technology is getting popular for clinical aided diagnosis,
especially in the direction of medical images. It makes physician diagnosis of lung nodules …

Fusion of measures for image segmentation evaluation

M Simfukwe, B Peng, T Li - International Journal of Computational …, 2018 - Springer
Image segmentation is an important task in image processing. However, no universally
accepted quality scheme exists for evaluating the performance of various segmentation …

A data fusion-based framework for image segmentation evaluation

M Simfukwe, B Peng, T Li - … , ICIC 2016, Lanzhou, China, August 2-5, 2016 …, 2016 - Springer
Image segmentation is an important task in image processing. Nevertheless, there is still no
generally accepted quality measure for evaluating the performance of various segmentation …

[PDF][PDF] Superiority of graph‐based visual saliency (GVS) over other image segmentation methods

U Lamboi, I Fofana, YL Kamara - Int J Sci Technol Res, 2017 - academia.edu
Although inherently tedious, the segmentation of images and the evaluation of segmented
images are critical in computer vision processes. One of the main challenges in image …