Healthcare data are inherently multimodal, including electronic health records (EHR), medical images, and multi-omics data. Combining these multimodal data sources …
Prompt engineering is a critical technique in the field of natural language processing that involves designing and optimizing the prompts used to input information into models, aiming …
Convolutional neural network (CNN) has shown dissuasive accomplishment on different areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Early detection of brain tumors can save precious human life. This work presents a fully automated design to classify brain tumors. The proposed scheme employs optimal deep …
Z Ren, Y Zhang, S Wang - Technology in Cancer Research …, 2022 - journals.sagepub.com
Objective: The only possible solution to increase the patients' fatality rate is lung cancer early-stage detection. Recently, deep learning techniques became the most promising …
Z Xu, Y Wang, M Chen, Q Zhang - Computers in Biology and Medicine, 2022 - Elsevier
Purpose The ultrasound (US) diagnosis of breast cancer is usually based on a single-region of a whole breast tumor from a single ultrasonic modality, which limits the diagnostic …
Z Ding, H Li, Y Guo, D Zhou, Y Liu, S Xie - Computers in Biology and …, 2023 - Elsevier
The main purpose of multimodal medical image fusion is to aggregate the significant information from different modalities and obtain an informative image, which provides …
Multi-modal data fusion has gained popularity due to its diverse applications, leading to an increased demand for external sensor calibration. Despite several proven calibration …
Purpose Alzheimer's disease (AD) is a progressive, incurable human brain illness that impairs reasoning and retention as well as recall. Detecting AD in its preliminary stages …