MDF-Net for abnormality detection by fusing X-rays with clinical data

C Hsieh, IB Nobre, SC Sousa, C Ouyang, M Brereton… - Scientific Reports, 2023 - nature.com
This study investigates the effects of including patients' clinical information on the
performance of deep learning (DL) classifiers for disease location in chest X-ray images …

Three-Dimensional Multi-Modality Registration for Orthopaedics and Cardiovascular Settings: State-of-the-Art and Clinical Applications

S Garzia, K Capellini, E Gasparotti, D Pizzuto… - Sensors, 2024 - mdpi.com
The multimodal and multidomain registration of medical images have gained increasing
recognition in clinical practice as a powerful tool for fusing and leveraging useful information …

Heterogenous image fusion model with SR-dual-channel PCNN significance region for NSST in an apple orchard

L Liu, Y Zhou, J Huo, Y Wu, R Gu - Applied intelligence, 2023 - Springer
The visible light image and Time of Flight image fusion technology can effectively remedy
the limitation of single orchard scene data source. The Dual-channel Pulse Coupled Neural …

On the use of UDWT and fuzzy sets for medical image fusion

T Tirupal, Y Pandurangaiah, A Roy, VV Kishore… - Multimedia Tools and …, 2024 - Springer
Multimodal medical image fusion is the process of obtaining relevant information from
medical images. In order to create a single image that is better suitable for diagnosis …

Image watermarking based data hiding by discrete wavelet transform quantization model with convolutional generative adversarial architectures

C Annadurai, I Nelson, KN Devi, R Manikandan… - Applied Sciences, 2023 - mdpi.com
Traditional watermarking methods can remove a watermark from an image, making it
possible to see the copyright information about the image owner or to estimate similarities …

Deep learning based multimodal biomedical data fusion: An overview and comparative review

J Duan, J Xiong, Y Li, W Ding - Information Fusion, 2024 - Elsevier
Multimodal biomedical data fusion plays a pivotal role in distilling comprehensible and
actionable insights by seamlessly integrating disparate biomedical data from multiple …

Application of Medical Image Navigation Technology in Minimally Invasive Puncture Robot

S Hu, R Lu, Y Zhu, W Zhu, H Jiang, S Bi - Sensors, 2023 - mdpi.com
Microneedle puncture is a standard minimally invasive treatment and surgical method,
which is widely used in extracting blood, tissues, and their secretions for pathological …

3D brain slice classification and feature extraction using Deformable Hierarchical Heuristic Model

R Sekaran, AK Munnangi, M Ramachandran… - Computers in Biology …, 2022 - Elsevier
Brain tumors are the most frequently occurring and severe type of cancer, with a life
expectancy of only a few months in most advanced stages. As a result, planning the best …

Fusion imaging versus ultrasound-guided percutaneous thermal ablation of liver cancer: a meta-analysis

Y Sheng, X Sun, H Sun, J Qi, H Li, J Luan… - Acta …, 2023 - journals.sagepub.com
Background Ultrasound-guided percutaneous thermal ablation has become an alternative
treatment for small hepatocellular carcinoma (HCC). Recent evidence suggests that fusion …

A review of cancer data fusion methods based on deep learning

Y Zhao, X Li, C Zhou, H Pen, Z Zheng, J Chen, W Ding - Information Fusion, 2024 - Elsevier
With advancements in modern medical technology, an increasing amount of cancer-related
information can be acquired through various means, such as genomics, proteomics …