Breast cancer: A comparative review for breast cancer detection using machine learning techniques
Breast cancer is the most common cancer among women globally and presents a significant
challenge due to its rising incidence and fatality rates. Factors such as cultural …
challenge due to its rising incidence and fatality rates. Factors such as cultural …
[HTML][HTML] Improved breast Cancer classification through combining transfer learning and attention mechanism
A Ashurov, SA Chelloug, A Tselykh, MSA Muthanna… - Life, 2023 - mdpi.com
Breast cancer, a leading cause of female mortality worldwide, poses a significant health
challenge. Recent advancements in deep learning techniques have revolutionized breast …
challenge. Recent advancements in deep learning techniques have revolutionized breast …
Object fusion tracking for RGB-T images via channel swapping and modal mutual attention
T Luan, H Zhang, J Li, J Zhang, L Zhuo - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
RGB-thermal (RGB-T) dual-modal imaging significantly broadens the observation
dimensions of the vision system. However, effectively harnessing the inherent advantages of …
dimensions of the vision system. However, effectively harnessing the inherent advantages of …
A Study of Neutrosophic Sets and Deep Learning Models for Breast Cancer Classification
W Abdullah - Multicriteria Algorithms with Applications, 2024 - sciencesforce.com
Medical image classification and detection using artificial intelligence (AI) can help enhance
medical care services. Unfortunately, most medical image modalities suffer from some noise …
medical care services. Unfortunately, most medical image modalities suffer from some noise …
[PDF][PDF] TC-Fuse: A Transformers Fusing CNNs Network for Medical Image Segmentation
P Geng, J Lu, Y Zhang, S Ma, Z Tang… - … -Computer Modeling in …, 2023 - cdn.techscience.cn
In medical image segmentation task, convolutional neural networks (CNNs) are difficult to
capture long-range dependencies, but transformers can model the long-range …
capture long-range dependencies, but transformers can model the long-range …
[PDF][PDF] Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification
Breast cancer (BC) is the most widespread tumor in females worldwide and is a severe
public health issue. BC is the leading reason of death affecting females between the ages of …
public health issue. BC is the leading reason of death affecting females between the ages of …
SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis
F Shi, J Wang, V Govindaraj - Mobile Networks and Applications, 2024 - Springer
The ongoing global pandemic has underscored the importance of rapid and reliable
identification of COVID-19 cases to enable effective disease management and control …
identification of COVID-19 cases to enable effective disease management and control …
[HTML][HTML] A convolution neural network for rapid and accurate staging of breast cancer based on mammography
ET Sereshkeh, H Keivan, K Shirbandi… - Informatics in Medicine …, 2024 - Elsevier
Introduction Breast cancer (BC) has been one of the main reasons for women's deaths in the
recent decade. This study hypothesizes that the deep features resulting from mammography …
recent decade. This study hypothesizes that the deep features resulting from mammography …
Automatic left ventricle segmentation via edge‐shape feature‐based fully convolutional neural network
K Gayathri, N Uma Maheswari… - … Journal of Imaging …, 2024 - Wiley Online Library
Left ventricle (LV) segmentation is essential to identify the cardiac functions for treating
cardiovascular disorders. Cardiovascular magnetic resonance (CMRI) imaging is a non …
cardiovascular disorders. Cardiovascular magnetic resonance (CMRI) imaging is a non …
Neuroevolution of Convolutional Neural Networks for Breast Cancer Diagnosis Using Western Blot Strips
JL Llaguno-Roque, RE Barrientos-Martínez… - Mathematical and …, 2023 - mdpi.com
Breast cancer has become a global health problem, ranking first in incidences and fifth in
mortality in women around the world. In Mexico, the first cause of death in women is breast …
mortality in women around the world. In Mexico, the first cause of death in women is breast …