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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
concerns regarding food safety. Traditional research on oven performance focuses on the …