A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment

JS Wekesa, M Kimwele - Frontiers in Genetics, 2023 - frontiersin.org
Accurate diagnosis is the key to providing prompt and explicit treatment and disease
management. The recognized biological method for the molecular diagnosis of infectious …

Efficient Skip Connections-Based Residual Network (ESRNet) for Brain Tumor Classification

M Kaur, D Singh, S Roy, M Amoon - Diagnostics, 2023 - mdpi.com
Brain tumors pose a complex and urgent challenge in medical diagnostics, requiring precise
and timely classification due to their diverse characteristics and potentially life-threatening …

Classification of brain tumor types through MRIs using parallel CNNs and firefly optimization

C Li, F Zhang, Y Du, H Li - Scientific Reports, 2024 - nature.com
Image segmentation is a critical and challenging endeavor in the field of medicine. A
magnetic resonance imaging (MRI) scan is a helpful method for locating any abnormal brain …

Secure medical imaging data using cryptography with classification

S Waris, SA Naqvi - University of Wah Journal of Computer Science, 2023 - uwjcs.org.pk
Medical imaging data is increasing day by day which requires improved applications that
perform accurate diagnoses. Secure medical imaging data plays a critical role in current …

A Scoping Review of the Use of Blockchain and Machine Learning in Medical Imaging Applications

J Pavão, R Bastardo, NP Rocha - World Conference on Information …, 2024 - Springer
This scoping review systematizes the current research related to the use of both blockchain
and machine learning techniques in medical imaging applications. A systematic electronic …