MRFE-CNN: Multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
R Ranjbarzadeh, N Tataei Sarshar… - Annals of Operations …, 2023 - Springer
Breast cancer is cancer that develops from the breast tissue and has been recognized as
one of the most dangerous and deadly diseases that is the second leading cause of cancer …
one of the most dangerous and deadly diseases that is the second leading cause of cancer …
Malignant and nonmalignant classification of breast lesions in mammograms using convolutional neural networks
EMF El Houby, NIR Yassin - Biomedical Signal Processing and Control, 2021 - Elsevier
Early detection remains the backbone of breast cancer control and treatment improvement.
However, early detection is difficult since cancer symptoms are absent at onset. Hence …
However, early detection is difficult since cancer symptoms are absent at onset. Hence …
Automated and real-time segmentation of suspicious breast masses using convolutional neural network
In this work, a computer-aided tool for detection was developed to segment breast masses
from clinical ultrasound (US) scans. The underlying Multi U-net algorithm is based on …
from clinical ultrasound (US) scans. The underlying Multi U-net algorithm is based on …
Convolutional neural network improvement for breast cancer classification
Traditionally, physicians need to manually delineate the suspected breast cancer area.
Numerous studies have mentioned that manual segmentation takes time, and depends on …
Numerous studies have mentioned that manual segmentation takes time, and depends on …
Diagnosis of breast cancer for modern mammography using artificial intelligence
R Karthiga, K Narasimhan, R Amirtharajan - Mathematics and Computers in …, 2022 - Elsevier
The diagnosis of breast cancer, one of the most common types of cancer worldwide, is still a
challenging task. Localisation of the breast mass and accurate classification is crucial in …
challenging task. Localisation of the breast mass and accurate classification is crucial in …
A region based convolutional network for tumor detection and classification in breast mammography
A Akselrod-Ballin, L Karlinsky, S Alpert… - Deep Learning and Data …, 2016 - Springer
This paper addresses the problem of detection and classification of tumors in breast
mammograms. We introduce a novel system that integrates several modules including a …
mammograms. We introduce a novel system that integrates several modules including a …
Breast cancer detection in mammograms using convolutional neural network
S Charan, MJ Khan, K Khurshid - … international conference on …, 2018 - ieeexplore.ieee.org
Breast cancer is among world's second most occurring cancer in all types of cancer. Most
common cancer among women worldwide is breast cancer. There is always need of …
common cancer among women worldwide is breast cancer. There is always need of …
Segmentation and classification of breast cancer using novel deep learning architecture
S Ramesh, S Sasikala, S Gomathi, V Geetha… - Neural Computing and …, 2022 - Springer
Breast cancer is one of the most frequent cancers in women, and it has a higher mortality
rate than other cancers. As a result, early detection is critical. In computer-assisted disease …
rate than other cancers. As a result, early detection is critical. In computer-assisted disease …
Breast cancer segmentation methods: current status and future potentials
Early breast cancer detection is one of the most important issues that need to be addressed
worldwide as it can help increase the survival rate of patients. Mammograms have been …
worldwide as it can help increase the survival rate of patients. Mammograms have been …
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
R Ranjbarzadeh, S Jafarzadeh Ghoushchi… - Artificial Intelligence …, 2023 - Springer
Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …
and treatment services. As different tumors in mammography have dissimilar densities …