[HTML][HTML] Multimodal image fusion: A systematic review
S Kalamkar - Decision Analytics Journal, 2023 - Elsevier
Multimodal image fusion combines information from multiple modalities to generate a
composite image containing complementary information. Multimodal image fusion is …
composite image containing complementary information. Multimodal image fusion is …
A systematic literature review on multimodal medical image fusion
Medical image fusion is a relevant area with widespread application in disease diagnosis
and prediction with easily available image scans of Computed Tomography, Positron …
and prediction with easily available image scans of Computed Tomography, Positron …
Medical image fusion using enhanced cross-visual cortex model based on artificial selection and impulse-coupled neural network
Objective The traditional ICM is widely used in applications, such as image edge detection
and image segmentation. However, several model parameters must be set, which tend to …
and image segmentation. However, several model parameters must be set, which tend to …
U-Patch GAN: A medical image fusion method based on GAN
C Fan, H Lin, Y Qiu - Journal of Digital Imaging, 2023 - Springer
Although medical imaging is frequently used to diagnose diseases, in complex diagnostic
situations, specialists typically need to look at different modalities of image information …
situations, specialists typically need to look at different modalities of image information …
Optimal pneumonia detection using convolutional neural networks from x-ray images
Pneumonia is an inflammatory condition caused by bacterial or viral infection. Individuals
having Pneumonia either have one or both lungs affected. Some combinations of productive …
having Pneumonia either have one or both lungs affected. Some combinations of productive …
Multiresolution approach on medical image fusion by modified local energy
Human and machine perception data that are not redundant are very important in medical
field for diagnosis and treatment. Existing fusion methods lack in complexity and are time …
field for diagnosis and treatment. Existing fusion methods lack in complexity and are time …
Insect classification framework based on a novel fusion of high-level and shallow features
The largest and most diversified group of organisms are insects. Since insects play a crucial
role in many ecosystems, it must be precisely identified for efficient management. However …
role in many ecosystems, it must be precisely identified for efficient management. However …
Colon cancer prediction with transfer learning and k-means clustering
The automatic diagnosis of colon cancer is important for patients and their prognosis
through the analysis of histopathological images. Traditional feature extraction methods …
through the analysis of histopathological images. Traditional feature extraction methods …
AQWT: Adaptive quaternion wavelet transform and hybrid heuristic improvement for multi-modal medical image fusion model
BS Babu, M Venkatanarayana - Signal, Image and Video Processing, 2024 - Springer
In healthcare, a fusion of multi-modal medical images is very difficult and also an important
work for the planning of surgical concepts and the diagnosis of precision. The findings of …
work for the planning of surgical concepts and the diagnosis of precision. The findings of …
Visualization of COVID Bimodal scan using DNN
COVID-19 is a disease caused by SARS-CoV-2 that can arouse a respiratory tract infection.
Therefore, a rapid identification of clearly visualized infections is urgently needed, which can …
Therefore, a rapid identification of clearly visualized infections is urgently needed, which can …