[HTML][HTML] A survey of convolutional neural network in breast cancer
Aims A large number of clinical trials have proved that if breast cancer is diagnosed at an
early stage, it could give patients more treatment options and improve the treatment effect …
early stage, it could give patients more treatment options and improve the treatment effect …
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
Breast cancer is one of the most commonly diagnosed cancer types in the woman and
automatically classifying breast cancer histopathological images is an important task in …
automatically classifying breast cancer histopathological images is an important task in …
Convolutional neural network-based models for diagnosis of breast cancer
Breast cancer is the most prevailing cancer in the world and each year affecting millions of
women. It is also the cause of largest number of deaths in women dying in cancers. During …
women. It is also the cause of largest number of deaths in women dying in cancers. During …
Breast cancer classification using deep convolutional neural network
MA Aslam, D Cui - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
Over the last decade, the demand for early diagnosis of breast cancer has resulted in new
research avenues. According to the world health organization (WHO), a successful treatment …
research avenues. According to the world health organization (WHO), a successful treatment …
Breast ultrasound image classification and segmentation using convolutional neural networks
Due to the shortage and uneven distribution of medical resources all over the world, breast
cancer diagnosis and treatment is a fundamental but vital problem, especially in developing …
cancer diagnosis and treatment is a fundamental but vital problem, especially in developing …
Research on the detection method of breast cancer deep convolutional neural network based on computer aid
M Li - 2021 IEEE Asia-Pacific Conference on Image …, 2021 - ieeexplore.ieee.org
Traditional breast cancer image classification methods require manual extraction of features
from medical images, which not only require professional medical knowledge, but also have …
from medical images, which not only require professional medical knowledge, but also have …
Feature fusion based on convolutional neural network for breast cancer auxiliary diagnosis
X Cheng, L Tan, F Ming - Mathematical Problems in …, 2021 - Wiley Online Library
Cancer is one of the leading causes of death in many countries. Breast cancer is one of the
most common cancers in women. Especially in remote areas with low medical standards …
most common cancers in women. Especially in remote areas with low medical standards …
Detecting breast cancer using artificial intelligence: Convolutional neural network
A Choudhury, S Perumalla - Technology and Health Care, 2021 - content.iospress.com
BACKGROUND: One of the most broadly founded approaches to envisage cancer treatment
relies upon a pathologist's efficiency to visually inspect the appearances of bio-markers on …
relies upon a pathologist's efficiency to visually inspect the appearances of bio-markers on …
Application of deep learning to construct breast cancer diagnosis model
RH Lin, BK Kujabi, CL Chuang, CS Lin, CJ Chiu - Applied Sciences, 2022 - mdpi.com
(1) Background: According to Taiwan's ministry of health statistics, the rate of breast cancer
in women is increasing annually. Each year, more than 10,000 women suffer from breast …
in women is increasing annually. Each year, more than 10,000 women suffer from breast …
Deep learning approach for classification of breast cancer
Breast cancer is one of the most common cancer types diagnosed in the ladies worldwide.
Statistics indicate that breast cancer rate is about 12% in all cancer cases in the world. Also …
Statistics indicate that breast cancer rate is about 12% in all cancer cases in the world. Also …