[HTML][HTML] Breast cancer classification by using multi-headed convolutional neural network modeling
Breast cancer is one of the most widely recognized diseases after skin cancer. Though it can
occur in all kinds of people, it is undeniably more common in women. Several analytical …
occur in all kinds of people, it is undeniably more common in women. Several analytical …
Improving the classification performance of breast ultrasound image using deep learning and optimization algorithm
Breast cancer is a common and major health concern in women across the world. Early
prognosis can ensure better and cost-effective treatment thus reducing the mortality rate. In …
prognosis can ensure better and cost-effective treatment thus reducing the mortality rate. In …
A novel deep CNN model for improved breast cancer detection using ultrasound images
The biggest cause of cancer related fatalities in women globally is breast cancer. So, the
early detection of this disease is beneficial to the patient since it allows for the adaptation of …
early detection of this disease is beneficial to the patient since it allows for the adaptation of …
Analysis of histopathological images for prediction of breast cancer using traditional classifiers with pre-trained CNN
Breast cancer is one of the most commonly found and dangerous cancer among women
which leads to a major research topic in medical science. Most of the times, it is identified by …
which leads to a major research topic in medical science. Most of the times, it is identified by …
[HTML][HTML] A modified LeNet CNN for breast cancer diagnosis in ultrasound images
S Balasubramaniam, Y Velmurugan, D Jaganathan… - Diagnostics, 2023 - mdpi.com
Convolutional neural networks (CNNs) have been extensively utilized in medical image
processing to automatically extract meaningful features and classify various medical …
processing to automatically extract meaningful features and classify various medical …
A novel one-dimensional convolutional neural network for breast cancer classification
S Asif, Y Wenhui, S Jinhai, Y Tao… - … on computer and …, 2021 - ieeexplore.ieee.org
Breast cancer is one of the most common and leading causes of death in women worldwide.
Accurate classification of breast cancer is important in diagnosis, and classification of benign …
Accurate classification of breast cancer is important in diagnosis, and classification of benign …
Classification of Breast Ultrasound Images Based on Convolutional Neural Networks-A Comparative Study
SM Badawy, AENA Mohamed… - 2021 International …, 2021 - ieeexplore.ieee.org
Computer aided diagnosis (CAD) helps physicians towards an early characterization of
tumors in different biomedical tissues, including Breast. Deep learning (DL) based image …
tumors in different biomedical tissues, including Breast. Deep learning (DL) based image …
[HTML][HTML] Breast cancer classification based on convolutional neural network and image fusion approaches using ultrasound images
M Alotaibi, A Aljouie, N Alluhaidan, W Qureshi… - Heliyon, 2023 - cell.com
Deep learning and image processing are used to classify and segment breast tumor images,
specifically in ultrasound (US) modalities, to support clinical decisions and improve …
specifically in ultrasound (US) modalities, to support clinical decisions and improve …
[HTML][HTML] 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 …
State-of-the-art of breast cancer diagnosis in medical images via convolutional neural networks (cnns)
Early detection of breast cancer is crucial for a better prognosis. Various studies have been
conducted where tumor lesions are detected and localized on images. This is a narrative …
conducted where tumor lesions are detected and localized on images. This is a narrative …