[HTML][HTML] Artificial intelligence in perinatal mental health research: A scoping review
ABSTRACT The intersection of Artificial Intelligence (AI) and perinatal mental health
research presents promising avenues, yet uncovers significant challenges for innovation …
research presents promising avenues, yet uncovers significant challenges for innovation …
[HTML][HTML] Conditional generative positive and unlabeled learning
The quantity of data generated increases daily, which makes it difficult to process. In the
case of supervised learning, labeling training examples may represent an especially tedious …
case of supervised learning, labeling training examples may represent an especially tedious …
Utilizing Semi-supervised Method in Predicting BRCA1 Pathogenicity Variants
Quantifying the effect of mutations in the BRCA1 gene is useful for understanding their
clinical consequences on breast cancer. Machine learning models can be applied to predict …
clinical consequences on breast cancer. Machine learning models can be applied to predict …
Clustering Analysis of Unlabeled Data and Weak-Label Detection Analysis Method Integrating Soft Computing Technology
C Liang - IEEE Access, 2024 - ieeexplore.ieee.org
With the continuous improvement of digitization, the processing and analysis of massive
data has become one of the hot issues. Soft computing technology, as an emerging machine …
data has become one of the hot issues. Soft computing technology, as an emerging machine …
Fingerprint image denoising and inpainting using generative adversarial networks
W Zhong, L Mao, Y Ning - Evolutionary Intelligence, 2024 - Springer
Fingerprint is a suitable biometric for identity verification. However, the fingerprint details are
significantly affected by the impression conditions and the non-uniform contact with …
significantly affected by the impression conditions and the non-uniform contact with …
A Novel Detection of Cerebrovascular Disease using Multimodal Medical Image Fusion
Background Diseases are medical situations that are allied with specific signs and
symptoms. A disease may be instigated by internal dysfunction or external factors like …
symptoms. A disease may be instigated by internal dysfunction or external factors like …
Correction: Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data
Following publication of the original article [1], it was reported that the article entitled “Model
performance and interpretability of semi-supervised generative adversarial networks to …
performance and interpretability of semi-supervised generative adversarial networks to …
Examining the Use of Generative Adversarial Network for Predicting Tumor Malignancy
This study's paper examines using a generative opposed network as an excellent way to
predict the malignancy of tumors in a clinically applicable manner. The examination …
predict the malignancy of tumors in a clinically applicable manner. The examination …