[HTML][HTML] Computer-aided breast cancer detection and classification in mammography: A comprehensive review
Cancer is the second cause of mortality worldwide and it has been identified as a perilous
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
A review on federated learning towards image processing
Nowadays, data privacy is an important consideration in machine learning. This paper
provides an overview of how Federated Learning can be used to improve data security and …
provides an overview of how Federated Learning can be used to improve data security and …
Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
A decision support system for multimodal brain tumor classification using deep learning
Multiclass classification of brain tumors is an important area of research in the field of
medical imaging. Since accuracy is crucial in the classification, a number of techniques are …
medical imaging. Since accuracy is crucial in the classification, a number of techniques are …
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
In the last decade, there has been a significant increase in medical cases involving brain
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
Prediction of COVID-19-pneumonia based on selected deep features and one class kernel extreme learning machine
In this work, we propose a deep learning framework for the classification of COVID-19
pneumonia infection from normal chest CT scans. In this regard, a 15-layered convolutional …
pneumonia infection from normal chest CT scans. In this regard, a 15-layered convolutional …
[HTML][HTML] Adversarial attack and defence through adversarial training and feature fusion for diabetic retinopathy recognition
Due to the rapid growth in artificial intelligence (AI) and deep learning (DL) approaches, the
security and robustness of the deployed algorithms need to be guaranteed. The security …
security and robustness of the deployed algorithms need to be guaranteed. The security …
Breast cancer mammograms classification using deep neural network and entropy-controlled whale optimization algorithm
Breast cancer has affected many women worldwide. To perform detection and classification
of breast cancer many computer-aided diagnosis (CAD) systems have been established …
of breast cancer many computer-aided diagnosis (CAD) systems have been established …
COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization
Coronavirus disease 2019 (COVID-19) is a highly contagious disease that has claimed the
lives of millions of people worldwide in the last 2 years. Because of the disease's rapid …
lives of millions of people worldwide in the last 2 years. Because of the disease's rapid …
A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images
ON Oyelade, AE Ezugwu - Biomedical Signal Processing and Control, 2021 - Elsevier
Breast cancer is now widely known to be the second most lethal disease among women.
Computer-aided detection (CAD) systems, deep learning (DL) in particular, have continued …
Computer-aided detection (CAD) systems, deep learning (DL) in particular, have continued …