Enhanced Pre-Trained Xception Model Transfer Learned for Breast Cancer Detection
Early detection and timely breast cancer treatment improve survival rates and patients'
quality of life. Hence, many computer-assisted techniques based on artificial intelligence are …
quality of life. Hence, many computer-assisted techniques based on artificial intelligence are …
Breast cancer detection and classification using deep learning Xception algorithm
BS Abunasser, MRJ AL-Hiealy… - International …, 2022 - search.proquest.com
Breast Cancer (BC) is one of the leading cause of deaths worldwide. Approximately 10
million people pass away internationally from breast cancer in the year 2020. Breast Cancer …
million people pass away internationally from breast cancer in the year 2020. Breast Cancer …
Development of breast cancer detection model using transfer learning of residual neural network (resnet-50)
QA Al-Haija, GF Manasra - American Journal of Science & …, 2020 - ingentaconnect.com
Breast cancer disease is one of the most common and dangerous as well as being
considered as the second most common world cause of cancer death in women. However …
considered as the second most common world cause of cancer death in women. However …
CoroNet: Deep neural network-based end-to-end training for breast cancer diagnosis
In 2020, according to the publications of both the Global Cancer Observatory (GCO) and the
World Health Organization (WHO), breast cancer (BC) represents one of the highest …
World Health Organization (WHO), breast cancer (BC) represents one of the highest …
A deep learning computer-aided diagnosis approach for breast cancer
AM Zaalouk, GA Ebrahim, HK Mohamed, HM Hassan… - Bioengineering, 2022 - mdpi.com
Breast cancer is a gigantic burden on humanity, causing the loss of enormous numbers of
lives and amounts of money. It is the world's leading type of cancer among women and a …
lives and amounts of money. It is the world's leading type of cancer among women and a …
A new deep convolutional neural network model for automated breast Cancer detection
Breast cancer is reported as one of most common malignancy amongst women in the world.
Early detection of this cancer is critical to clinical and epidemiologic for aiding in informing …
Early detection of this cancer is critical to clinical and epidemiologic for aiding in informing …
Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
Introduction: Of all the cancers that afflict women, breast cancer (BC) has the second-highest
mortality rate, and it is also believed to be the primary cause of the high death rate. Breast …
mortality rate, and it is also believed to be the primary cause of the high death rate. Breast …
A novel deep-learning model for automatic detection and classification of breast cancer using the transfer-learning technique
Breast cancer (BC) is one of the primary causes of cancer death among women. Early
detection of BC allows patients to receive appropriate treatment, thus increasing the …
detection of BC allows patients to receive appropriate treatment, thus increasing the …
Breast cancer detection from histopathology images with deep inception and residual blocks
The rapid growth of the network in deep learning, a subset of artificial intelligence has
motivated the researchers to develop the tools for medical imaging analysis. Here we have …
motivated the researchers to develop the tools for medical imaging analysis. Here we have …
Improved transfer learning based deep learning model for breast cancer histopathological image classification
MFI Soumik, AZB Aziz… - … Conference on Automation …, 2021 - ieeexplore.ieee.org
In recent years, the demand for prompt detection and classification of breast cancer is rising
sharply as breast cancer has become leading cancer type among women throughout the …
sharply as breast cancer has become leading cancer type among women throughout the …