[HTML][HTML] Current advances and future perspectives of image fusion: A comprehensive review
Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …
world than a single modality alone. Infrared images discriminate targets with respect to their …
[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
[HTML][HTML] A novel soft attention-based multi-modal deep learning framework for multi-label skin lesion classification
AN Omeroglu, HMA Mohammed, EA Oral… - … Applications of Artificial …, 2023 - Elsevier
Skin cancer is one of the fatal cancers worldwide. Early detection of this disease can
significantly increase the survival rate. In this study, a multi-modal and soft attention based …
significantly increase the survival rate. In this study, a multi-modal and soft attention based …
[HTML][HTML] A novel nonlinear automated multi-class skin lesion detection system using soft-attention based convolutional neural networks
Skin cancer is one of the most common cancer types that negatively affect human life
worldwide and can result in death. So early diagnosis is essential for patient treatment …
worldwide and can result in death. So early diagnosis is essential for patient treatment …
[HTML][HTML] MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading
Pathologic grading of laryngeal squamous cell carcinoma (LSCC) plays a crucial role in
diagnosis, prognosis, and migration. However, the grading performance and interpretability …
diagnosis, prognosis, and migration. However, the grading performance and interpretability …
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis
Color fundus photography (CFP) and Optical coherence tomography (OCT) images are two
of the most widely used modalities in the clinical diagnosis and management of retinal …
of the most widely used modalities in the clinical diagnosis and management of retinal …
[HTML][HTML] Skin lesion recognition via global-local attention and dual-branch input network
L Tan, H Wu, J Xia, Y Liang, J Zhu - Engineering Applications of Artificial …, 2024 - Elsevier
Owing to the deficiency of training data, the variety of skin lesion shapes for different
patients, inter-class similarity, and intra-class variation, the recognition accuracy and speed …
patients, inter-class similarity, and intra-class variation, the recognition accuracy and speed …
[HTML][HTML] A cross-temporal multimodal fusion system based on deep learning for orthodontic monitoring
H Chen, Z Qu, Y Tian, N Jiang, Y Qin, J Gao… - Computers in Biology …, 2024 - Elsevier
Introduction In the treatment of malocclusion, continuous monitoring of the three-
dimensional relationship between dental roots and the surrounding alveolar bone is …
dimensional relationship between dental roots and the surrounding alveolar bone is …
[HTML][HTML] Enhancing multimodal depression detection with intra-and inter-sample contrastive learning
Multimodal depression detection (MDD) has garnered significant interest in recent years.
Current methods typically integrate multimodal information within samples to distinguish …
Current methods typically integrate multimodal information within samples to distinguish …