Region of interest segmentation based on clustering techniques for breast cancer ultrasound images: A review

M Muhammad, D Zeebaree, AMA Brifcani… - Journal of Applied …, 2020 - jastt.org
The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is
a widely employed method for identifying and diagnosing breast abnormalities. Computer …

ABCanDroid: a cloud integrated android app for noninvasive early breast cancer detection using transfer learning

D Chowdhury, A Das, A Dey, S Sarkar, AD Dwivedi… - Sensors, 2022 - mdpi.com
Many patients affected by breast cancer die every year because of improper diagnosis and
treatment. In recent years, applications of deep learning algorithms in the field of breast …

Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images

MSK Inan, FI Alam, R Hasan - Biomedical Signal Processing and Control, 2022 - Elsevier
Breast cancer has become a symbol of tremendous concern in the modern world, as it is one
of the major causes of cancer mortality worldwide. In this regard, breast ultrasonography …

Detection of ring cell cancer in histopathological images with region of interest determined by SLIC superpixels method

C Budak, V Mençik - Neural Computing and Applications, 2022 - Springer
Gastric cancer is the sixth most common cancer and the fourth leading cause of cancer
deaths worldwide. Gastric cancer presents with a more insidious onset and is most …

Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study

R Tian, G Lu, S Tang, L Sang, H Ma, W Qian… - Medical Engineering & …, 2024 - Elsevier
This study aims to establish an effective benign and malignant classification model for breast
tumor ultrasound images by using conventional radiomics and transfer learning features. We …

A parallel and accurate method for large-scale image segmentation on a cloud environment

G Park, YS Heo, K Lee, HY Kwon - The Journal of Supercomputing, 2022 - Springer
In this paper, we present a parallel algorithm for SLIC on Apache Spark, which we call
PSLIC-on-Spark. To this purpose, we have extended the original SLIC algorithm to use the …

Denoising, edge correction, and enhancement of breast cancer ultrasound images

J Dabass, M Dabass - International Conference on Advanced …, 2019 - Springer
Mortality rate because of breast cancer diminishes to a large extent if the categorization of
breast lesions as malignant or benign is done properly. But this process is quite complicated …

An Efficient Automated Technique for Classification of Breast Cancer Using Deep Ensemble Model

M Zia Ur Rehman, J Ahmad, ES Jaha… - Computer Systems …, 2023 - open-access.bcu.ac.uk
Breast cancer is one of the leading cancers among women. It has the second-highest
mortality rate in women after lung cancer. Timely detection, especially in the early stages …

[PDF][PDF] Deep integrated pipeline of segmentation leading to classification for automated detection of breast cancer from breast ultrasound images

MSK Inan, FI Alam, R Hasan - arXiv preprint arXiv:2110.14013, 2021 - academia.edu
Breast cancer has become a symbol of tremendous concern in the modern world, as it is one
of the major causes of cancer mortality worldwide. In this concern, many people are …

Uniformity evaluation of temperature field in an oven based on image processing

C Wang, B Hou, J Shi, J Yang - IEEE Access, 2020 - ieeexplore.ieee.org
Non-uniform temperature distributions in ovens affect the quality of baked goods and raise
concerns regarding food safety. Traditional research on oven performance focuses on the …