[HTML][HTML] SNSVM: SqueezeNet-guided SVM for breast cancer diagnosis
Breast cancer is a major public health concern that affects women worldwide. It is a leading
cause of cancer-related deaths among women, and early detection is crucial for successful …
cause of cancer-related deaths among women, and early detection is crucial for successful …
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 …
[PDF][PDF] Mammogram Learning System for Breast Cancer Diagnosis Using Deep Learning SVM.
G Jayandhi, JS Jasmine… - Computer Systems Science …, 2022 - cdn.techscience.cn
The most common form of cancer for women is breast cancer. Recent advances in medical
imaging technologies increase the use of digital mammograms to diagnose breast cancer …
imaging technologies increase the use of digital mammograms to diagnose breast cancer …
Breast cancer diagnosis using support vector machines optimized by whale optimization and dragonfly algorithms
Breast Cancer (BC) has become a critical illness with a high mortality rate during the
previous decade. It is considered the women's most common cancer. In this paper, we …
previous decade. It is considered the women's most common cancer. In this paper, we …
Support vector machines combined with feature selection for breast cancer diagnosis
MF Akay - Expert systems with applications, 2009 - Elsevier
Breast cancer is the second largest cause of cancer deaths among women. At the same
time, it is also among the most curable cancer types if it can be diagnosed early. Research …
time, it is also among the most curable cancer types if it can be diagnosed early. Research …
Support vector machine based diagnostic system for breast cancer using swarm intelligence
Breast cancer is becoming a leading cause of death among women in the whole world,
meanwhile, it is confirmed that the early detection and accurate diagnosis of this disease …
meanwhile, it is confirmed that the early detection and accurate diagnosis of this disease …
Breast cancer diagnosis based on hybrid SqueezeNet and improved chef-based optimizer
Q Huang, H Ding, M Effatparvar - Expert Systems with Applications, 2024 - Elsevier
The most frequent disease in women and the one that accounts for the majority of cancer-
related fatalities in females is breast cancer. An important milestone in breast cancer CAD …
related fatalities in females is breast cancer. An important milestone in breast cancer CAD …
PSOWNNs‐CNN: A Computational Radiology for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning Methods
A Nomani, Y Ansari, MH Nasirpour… - Computational …, 2022 - Wiley Online Library
Early diagnosis of breast cancer is an important component of breast cancer therapy. A
variety of diagnostic platforms can provide valuable information regarding breast cancer …
variety of diagnostic platforms can provide valuable information regarding breast cancer …
[PDF][PDF] A comparative analysis of methods for detecting and diagnosing breast cancer based on data mining
AT Alhasani, H Alkattan, AA Subhi, ESM El-Kenawy… - Methods, 2023 - academia.edu
Breast cancer is a significant public health concern worldwide, and early detection is crucial
for its treatment. Although breast cancer has been extensively studied, there is still room for …
for its treatment. Although breast cancer has been extensively studied, there is still room for …
BTS-ST: Swin transformer network for segmentation and classification of multimodality breast cancer images
Breast cancer is considered the most commonly diagnosed cancer globally and falls second
to lung cancer. For the early detection of breast tumors in women, breast cancer analysis …
to lung cancer. For the early detection of breast tumors in women, breast cancer analysis …