Transfer learning privileged information fuels CAD diagnosis of breast cancer

TA Shaikh, R Ali, MMS Beg - Machine Vision and Applications, 2020 - Springer
The efficiency in breast cancer from imaging-based computer-aided diagnosis (CAD) has
been revealed in recent years. As a fact, the methods grounded on a single modality …

Image segmentation using active contours with hessian-based gradient vector flow external force

Q Qian, K Cheng, W Qian, Q Deng, Y Wang - Sensors, 2022 - mdpi.com
The gradient vector flow (GVF) model has been widely used in the field of computer image
segmentation. In order to achieve better results in image processing, there are many …

Image segmentation using active contours with image structure adaptive gradient vector flow external force

D Wang, X Dang, W Liu, Y Wang - Frontiers in Applied Mathematics …, 2023 - frontiersin.org
Introduction Gradient vector flow (GVF) has been proven as an effective external force for
active contours. However, its smoothness constraint does not take the image structure into …

Image segmentation using active contours with modified convolutional virtual electric field external force with an edge-stopping function

K Cheng, T Xiao, Q Chen, Y Wang - Plos one, 2020 - journals.plos.org
The gradient vector flow (GVF) is an effective external force to deform the active contours.
However, it suffers from high computational cost. For efficiency, the virtual electric field (VEF) …

Extension of the virtual electric field model using bilateral-like filter for active contours

S Zhou, Y Lu, N Li, Y Wang - Signal, Image and Video Processing, 2019 - Springer
The gradient vector flow (GVF) model has been proven as an effective external force for
active-contour-based image segmentation. However, it suffers from high computation cost …

Initial geometrical templates with parameter sets for active contour on skin cancer boundary segmentation

P Bumrungkun, K Chamnongthai… - Journal of Healthcare …, 2021 - Wiley Online Library
For active‐contour‐based surgery systems, the success of skin cancer boundary
segmentation depends on the initialization point of the snake model, which is a task …

Improved active contour model through automatic initialisation: Liver segmentation

T Amina, L Lakhdar, B Hakim… - 2021 IEEE 1st …, 2021 - ieeexplore.ieee.org
Liver segmentation from Computed Tomography (CT) images is a crucial step in computer
aided diagnosis. In this paper, an efficient liver segmentation method based on a new active …

Convolutional Neural Networks for Segmented Liver Classification

T Amina, L Lakhdar, B Hakim… - … Conference on Recent …, 2021 - ieeexplore.ieee.org
The classification of liver disease is of paramount significance for an early diagnosis of
patients. In this paper, suggesting a way for classifying the liver in two categories: normal …

[PDF][PDF] Automatic initialization of active contours for segmentation of ultrasound images of breast cancer

K Kirimasthong, SS Makhanov, A Rodtook - 2017 - ethesisarchive.library.tu.ac.th
It is critical to differentiate the snake's seeds initialized inside and outside the object of
interest. Obviously, if one can do it for every position in the image, it means that the object …