Intelligent image semantic segmentation: a review through deep learning techniques for remote sensing image analysis

B Jiang, X An, S Xu, Z Chen - Journal of the Indian society of remote …, 2023 - Springer
Image semantic segmentation is an important part of fundamental in image interpretation
and computer vision. With the development of convolutional neural network technology …

Mammographic mass detection with statistical region merging

M Bajger, F Ma, S Williams… - … conference on digital …, 2010 - ieeexplore.ieee.org
An automatic method for detection of mammographic masses is presented which utilizes
statistical region merging for segmentation (SRM) and linear discriminant analysis (LDA) for …

Computer aided mass detection in mammography with temporal change analysis

F Ma, L Yu, G Liu, Q Niu - Computer Science and Information …, 2015 - doiserbia.nb.rs
This paper presents a method to extract change information from temporal mammogram
pairs and to incorporate the temporal change information in the malignant mass …

Incorporation of fuzzy spatial relation in temporal mammogram registration

F Ma, L Yu, M Bajger, MJ Bottema - Fuzzy Sets and Systems, 2015 - Elsevier
This paper presents a method for incorporating fuzzy sets based spatial relations in
registering temporal mammogram pairs. In the proposed method, four spatial relations, to …

[HTML][HTML] Extracting and smoothing contours in mammograms using Fourier descriptors

CK Feudjio, A Tiedeu, ML Noubeg, M Gordan… - Journal of Biomedical …, 2014 - scirp.org
Contour is an important pattern descriptor in image processing and particularly in region
description, registration and length estimation. In many applications where contour is used …

A new contour detection in mammogram using sequential edge linking

W Liu, Y Liang, X Ren, P Duan - 2008 Second International …, 2008 - ieeexplore.ieee.org
A novel approach is presented to extract the contour of a region of interest (ROI) in
mammogram. It combines the threshold segmentation method and sequential edge linking …

Sensor network traffic load prediction with markov random field theory

Y Cai, L Yu - 2015 4th International Conference on Computer …, 2015 - ieeexplore.ieee.org
Following recent advances in wireless communications and computing technology, sensor
networks are widely deployed in different fields for both monitoring and control purposes. In …

Mammogram mass classification with temporal features and multiple kernel learning

F Ma, L Yu, M Bajger… - … Conference on Digital …, 2015 - ieeexplore.ieee.org
Based on previous work on regional temporal mammogram registration, this study
investigates the combination of image features measured from single regions (single …

[PDF][PDF] Computerized detection and smoothing contour in mammograms

C Feudjio, A Tiedeu, M Gordan, S Domngang… - Proceedings of 11th …, 2012 - cari-info.org
This paper deals with an approach of detecting and smoothing breast contour in
mammograms. Breast contour is a precious primitive for region description, registration …

Objective comparison of contour detection in noisy images

R Pavez, M Mora, P Gonzalez - … , CIARP 2011, Pucón, Chile, November 15 …, 2011 - Springer
The constant appearance of new contour detection methods makes it necessary to have
accurate ways of assessing the performance of these methods. This paper proposes an …