Artificial intelligence for breast cancer analysis: Trends & directions
Breast cancer is one of the leading causes of death among women. Early detection of breast
cancer can significantly improve the lives of millions of women across the globe. Given …
cancer can significantly improve the lives of millions of women across the globe. Given …
Fascinating MXene nanomaterials: emerging opportunities in the biomedical field
X Lin, Z Li, J Qiu, Q Wang, J Wang, H Zhang… - Biomaterials …, 2021 - pubs.rsc.org
In recent years, there has been rapid progress in MXene research due to its distinctive two-
dimensional structure and outstanding properties. Especially in biomedical applications …
dimensional structure and outstanding properties. Especially in biomedical applications …
[PDF][PDF] Adaptive dynamic dipper throated optimization for feature selection in medical data
The rapid population growth results in a crucial problem in the early detection of diseases in
medical research. Among all the cancers unveiled, breast cancer is considered the second …
medical research. Among all the cancers unveiled, breast cancer is considered the second …
Ensemble deep-learning-enabled clinical decision support system for breast cancer diagnosis and classification on ultrasound images
Simple Summary In the literature, there exist plenty of research works focused on the
detection and classification of breast cancer. However, only a few works have focused on …
detection and classification of breast cancer. However, only a few works have focused on …
Deep learning assisted efficient AdaBoost algorithm for breast cancer detection and early diagnosis
J Zheng, D Lin, Z Gao, S Wang, M He, J Fan - IEEE Access, 2020 - ieeexplore.ieee.org
Breast cancer is one of the most dangerous diseases and the second largest cause of
female cancer death. Breast cancer starts when malignant, cancerous lumps start to grow …
female cancer death. Breast cancer starts when malignant, cancerous lumps start to grow …
[HTML][HTML] CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images
CB Gonçalves, JR Souza, H Fernandes - Computers in Biology and …, 2022 - Elsevier
The early detection of breast cancer is a vital factor when it comes to improving cure and
recovery rates in patients. Among such early detection factors, one finds thermography, an …
recovery rates in patients. Among such early detection factors, one finds thermography, an …
On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Artificial intelligence based medical decision support system for early and accurate breast cancer prediction
Feature selection, which picks the optimal subset of characteristics related to the target data
by deleting unnecessary data, is one of the most important aspects of the machine learning …
by deleting unnecessary data, is one of the most important aspects of the machine learning …
Deep learning based methods for breast cancer diagnosis: a systematic review and future direction
Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …
A CNN-based methodology for breast cancer diagnosis using thermal images
J Zuluaga-Gomez, Z Al Masry… - Computer Methods in …, 2021 - Taylor & Francis
ABSTRACT A recent study from GLOBOCAN disclosed that during 2018 two million women
worldwide had been diagnosed with breast cancer. Currently, mammography, magnetic …
worldwide had been diagnosed with breast cancer. Currently, mammography, magnetic …