A systematic review of the automatic kidney segmentation methods in abdominal images

M Pandey, A Gupta - Biocybernetics and Biomedical Engineering, 2021 - Elsevier
Abstract Background and Purpose The precise kidney segmentation is very helpful for
diagnosis and treatment planning in urology, by giving information about malformation in the …

A systematic review of the techniques for the automatic segmentation of organs-at-risk in thoracic computed tomography images

M Ashok, A Gupta - Archives of Computational Methods in Engineering, 2021 - Springer
The standard treatment for the cancer is the radiotherapy where the organs nearby the target
volumes get affected during treatment called the Organs-at-risk. Segmentation of Organs-at …

Recognition of images of finger skin with application of histogram, image filtration and K-NN classifier

A Glowacz, Z Glowacz - Biocybernetics and biomedical engineering, 2016 - Elsevier
In this paper, non-invasive method of recognition of finger skin was proposed. A plan of
study of images of finger skin was proposed. Researches were carried out for three kinds of …

An implementation of Otsu thresholding and the Chan–Vese method on the PCO segmentation of ultrasound images

AA Nazarudin, N Zulkarnain, SS Mokri… - … on Electrical, Control …, 2020 - ieeexplore.ieee.org
Medical practitioners have been using ultrasound images to diagnose and monitor
polycystic ovarian syndrome (PCOS) manually. However, manual segmentation is laborious …

A framework for the objective assessment of registration accuracy

F Pizzorni Ferrarese, F Simonetti… - International Journal …, 2014 - Wiley Online Library
Validation and accuracy assessment are the main bottlenecks preventing the adoption of
image processing algorithms in the clinical practice. In the classical approach, a posteriori …

A modified expectation of maximization method and its application to image segmentation

L Lalaoui, T Mohamadi, A Djaalab… - Current Medical …, 2015 - ingentaconnect.com
In this paper we describe a modified segmentation method applied to image. An EM
algorithm is developed to estimate parameters of the Gaussian mixtures. Recently …

Performance identification using morphological approach on digital mammographic images

K Subramanian, S Kumarasamy - Current Signal Transduction …, 2016 - ingentaconnect.com
Background: Digital Mammography is the most vital and successful imaging modality used
by radio diagnosis method to find out breast cancer. Breast cancer is the most significant …

[PDF][PDF] Book chapters

MS Menegaz, R Du Pasquier, T Sumpf, J Frahm… - Neuroscience - academia.edu
Book chapters 1. Bazzani L., Cristani M., Paggetti G., Tosato D., Menegaz G., Murino V.,
Analyzing Groups: A Social Signaling Pe Page 1 Book chapters 1. Bazzani L., Cristani M …

[PDF][PDF] Research Article A Framework for the Objective Assessment of Registration Accuracy

FP Ferrarese, F Simonetti, RI Foroni, G Menegaz - academia.edu
Validation and accuracy assessment are the main bottlenecks preventing the adoption of
image processing algorithms in the clinical practice. In the classical approach, a posteriori …

[PDF][PDF] 1. Assessment of Mean Apparent Propagator-based indexes as biomarkers of axonal remodeling after stroke, L. Brusini, S. Obertino, M. Zucchelli, I. Boscolo …

C Brusini, A Daducci - Rivista dell'Associazione Italiana Colore, 2015 - academia.edu
43. G. Bonnier, A. Roche, D. Romascano, S. Simioni, D. Meskaldji, D. Rotzinger, A. Lin, G.
Menegaz, M. Schluep, R. Du Pasquier, T. Sumpf, J. Frahm, J.-P. Thiran, G. Krueger, C …