Deformable models in medical image analysis: a survey

T McInerney, D Terzopoulos - Medical image analysis, 1996 - Elsevier
This article surveys deformable models, a promising and vigorously researched computer-
assisted medical image analysis technique. Among model-based techniques, deformable …

Ultrasound image segmentation: a survey

JA Noble, D Boukerroui - IEEE Transactions on medical …, 2006 - ieeexplore.ieee.org
This paper reviews ultrasound segmentation methods, in a broad sense, focusing on
techniques developed for medical B-mode ultrasound images. First, we present a review of …

Improved threshold based and trainable fully automated segmentation for breast cancer boundary and pectoral muscle in mammogram images

DA Zebari, DQ Zeebaree, AM Abdulazeez… - Ieee …, 2020 - ieeexplore.ieee.org
Segmentation of the breast region and pectoral muscle are fundamental subsequent steps
in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region …

A Bayesian model of shape and appearance for subcortical brain segmentation

B Patenaude, SM Smith, DN Kennedy, M Jenkinson - Neuroimage, 2011 - Elsevier
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …

Snakes, shapes, and gradient vector flow

C Xu, JL Prince - IEEE Transactions on image processing, 1998 - ieeexplore.ieee.org
Snakes, or active contours, are used extensively in computer vision and image processing
applications, particularly to locate object boundaries. Problems associated with initialization …

[BUCH][B] Measurement, Instrumentation, and Sensors Handbook: Two-Volume Set

JG Webster, H Eren - 2018 - taylorfrancis.com
This new edition of the bestselling Measurement, Instrumentation, and Sensors Handbook
brings together all aspects of the design and implementation of measurement …

Automatic breast ultrasound image segmentation: A survey

M **an, Y Zhang, HD Cheng, F Xu, B Zhang, J Ding - Pattern Recognition, 2018 - Elsevier
Breast cancer is one of the leading causes of cancer death among women worldwide. In
clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging …

Three-dimensional ultrasound imaging

A Fenster, DB Downey… - Physics in medicine & …, 2001 - iopscience.iop.org
Ultrasound is an inexpensive and widely used imaging modality for the diagnosis and
staging of a number of diseases. In the past two decades, it has benefited from major …

Approaches for automated detection and classification of masses in mammograms

HD Cheng, XJ Shi, R Min, LM Hu, XP Cai, HN Du - Pattern recognition, 2006 - Elsevier
Breast cancer continues to be a significant public health problem in the world. Early
detection is the key for improving breast cancer prognosis. Mammography has been one of …

A review of automatic mass detection and segmentation in mammographic images

A Oliver, J Freixenet, J Marti, E Perez, J Pont… - Medical image …, 2010 - Elsevier
The aim of this paper is to review existing approaches to the automatic detection and
segmentation of masses in mammographic images, highlighting the key-points and main …