Cryptocurrency trading: a comprehensive survey
In recent years, the tendency of the number of financial institutions to include
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
Deep semi-supervised learning for medical image segmentation: A review
Deep learning has recently demonstrated considerable promise for a variety of computer
vision tasks. However, in many practical applications, large-scale labeled datasets are not …
vision tasks. However, in many practical applications, large-scale labeled datasets are not …
Breast cancer classification from histopathological images using patch-based deep learning modeling
Accurate detection and classification of breast cancer is a critical task in medical imaging
due to the complexity of breast tissues. Due to automatic feature extraction ability, deep …
due to the complexity of breast tissues. Due to automatic feature extraction ability, deep …
A semi-supervised extreme learning machine algorithm based on the new weighted kernel for machine smell
At present, machine sense of smell has shown its important role and advantages in many
scenarios. The development of machine sense of smell is inseparable from the support of …
scenarios. The development of machine sense of smell is inseparable from the support of …
Involvement of machine learning for breast cancer image classification: a survey
AA Nahid, Y Kong - Computational and mathematical methods …, 2017 - Wiley Online Library
Breast cancer is one of the largest causes of women's death in the world today. Advance
engineering of natural image classification techniques and Artificial Intelligence methods …
engineering of natural image classification techniques and Artificial Intelligence methods …
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries
R Alizadehsani, MJ Hosseini, A Khosravi… - Computer methods and …, 2018 - Elsevier
Background and objective Cardiovascular diseases are an extremely widespread sickness
and account for 17 million deaths in the world per annum. Coronary artery disease (CAD) is …
and account for 17 million deaths in the world per annum. Coronary artery disease (CAD) is …
An optimum ANN-based breast cancer diagnosis: Bridging gaps between ANN learning and decision-making goals
R Jafari-Marandi, S Davarzani, MS Gharibdousti… - Applied Soft …, 2018 - Elsevier
It is difficult to overestimate the importance of appropriate breast cancer diagnosis, as the
disease ranks second among all cancers that lead to death in women. Many efforts propose …
disease ranks second among all cancers that lead to death in women. Many efforts propose …
AMIAC: adaptive medical image analyzes and classification, a robust self-learning framework
Adaptive self-learning is a promising technique in medical image analysis that enables deep
learning models to adapt to changes in image distribution over time. As medical image data …
learning models to adapt to changes in image distribution over time. As medical image data …
Semi-supervised vision transformer with adaptive token sampling for breast cancer classification
W Wang, R Jiang, N Cui, Q Li, F Yuan… - Frontiers in …, 2022 - frontiersin.org
Various imaging techniques combined with machine learning (ML) models have been used
to build computer-aided diagnosis (CAD) systems for breast cancer (BC) detection and …
to build computer-aided diagnosis (CAD) systems for breast cancer (BC) detection and …
A systematic machine learning based approach for the diagnosis of non-alcoholic fatty liver disease risk and progression
Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare
community. Screening is complicated by the fact that the accuracy of noninvasive testing …
community. Screening is complicated by the fact that the accuracy of noninvasive testing …