Segmentation of breast ultrasound image with semantic classification of superpixels

Q Huang, Y Huang, Y Luo, F Yuan, X Li - Medical Image Analysis, 2020 - Elsevier
Breast cancer is a great threat to females. Ultrasound imaging has been applied extensively
in diagnosis of breast cancer. Due to the poor image quality, segmentation of breast …

Smoke semantic segmentation with multi-scale residual paths and weighted middle surveillances

F Yuan, L Zhang, X Xia - Multimedia Tools and Applications, 2024 - Springer
Visual smoke segmentation is widely used for fire detection, simulation, human evacuation
and pollution monitoring. However, it is challenging to accurately separate smoke from a …

Differential diagnosis of atypical hepatocellular carcinoma in contrast-enhanced ultrasound using spatio-temporal diagnostic semantics

Q Huang, F Pan, W Li, F Yuan, H Hu… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Atypical Hepatocellular Carcinoma (HCC) is very hard to distinguish from Focal Nodular
Hyperplasia (FNH) in routine imaging. However little attention was paid to this problem. This …

Smoke detection and trend prediction method based on Deeplabv3+ and generative adversarial network

S Cheng, J Ma, S Zhang - Journal of Electronic Imaging, 2019 - spiedigitallibrary.org
The detection of smoke in the initial stage is vital for preventing fire events. Therefore, we
present a method of smoke heatmap detection using computer vision. First, the smoke …

DB-Net: detecting vehicle smoke with deep block networks

J Chen, X Peng - Applied Sciences, 2023 - mdpi.com
Vision-based vehicle smoke detection aims to locate the regions of vehicle smoke in video
frames, which plays a vital role in intelligent surveillance. Existing methods mainly consider …

A two-stage progressive deep segmentation network for tumor detection in breast ultrasound images

N Zaidkilani, M Abdel-Nasser, MA Garcia… - Multimedia Tools and …, 2024 - Springer
Segmenting tumorous regions in breast ultrasound images is a challenging problem due to
several factors, including the relatively low contrast of the available images, the presence of …

Target segmentation of industrial smoke image based on LBP Silhouettes coefficient variant (LBPSCV) algorithm

Q Li, H Liu, J Zhang, P Zeng - IET Image Processing, 2020 - Wiley Online Library
The use of computer vision technology to analyse the characteristics of smoke such as
Ringelmann blackness coefficient and colour information can directly and efficiently reflect …

基于运动与模糊特征的红外热成像烟雾检测

李咸静, 郝争辉 - Infrared Technology, 2024 - opticsjournal.net
摘要在焦化企业生产过程中会产生大量烟雾, 排放, 泄漏会对自然环境造成污染危及生命生产
安全. 针对热成像视频对比度低, 纹理度差等特点, 本文采用烟雾具有运动与模糊特性来进行检测 …

A superpixel-classification-based method for breast ultrasound images

Y Huang, Q Huang - 2018 5th International Conference on …, 2018 - ieeexplore.ieee.org
As a special disease, breast cancer is a serious threat to females. Besides, medical image
segmentation influences greatly on the computer-aided diagnosis system. In this paper, a …

Discernment of Smoke in Image Frames

GS Bhogal, AK Rawat - Analysis of Images, Social Networks and Texts: 8th …, 2020 - Springer
Smoke is a challenging object to detect because of its changing texture, color and shape etc.
These features can be extracted with the help of learning algorithms like regression, SVM …