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 …
actionable insights by seamlessly integrating disparate biomedical data from multiple …
[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 …
Deep clustering via center-oriented margin free-triplet loss for skin lesion detection in highly imbalanced datasets
Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate
when diagnosed at early stages. Learning-based methods hold significant promise for the …
when diagnosed at early stages. Learning-based methods hold significant promise for the …
A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images
This paper developed a novel melanoma diagnosis model from dermoscopy images using a
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …
Performance analysis of real-time plant species recognition using bilateral network combined with machine learning classifier
SA Pearline, VS Kumar - Ecological Informatics, 2022 - Elsevier
A real-time plant species recognition under an unconstrained environment is a challenging
and time-consuming process. The recognition model should cope up with the computer …
and time-consuming process. The recognition model should cope up with the computer …
Convolutional neural network-based apple images classification and image quality measurement by light colors using the color-balancing approach
B Büyükarıkan, E Ülker - Multimedia Systems, 2023 - Springer
The appearance of an object is affected by the color and quality of the light on the surface
and the location of the lighting source. Color-balancing methods can solve the problems …
and the location of the lighting source. Color-balancing methods can solve the problems …
Automatic detection of melanoma skin cancer from dermoscopy images based on features fusion
L Abd Alaziz, A Lawgali - 2022 IEEE 21st international …, 2022 - ieeexplore.ieee.org
Skin cancer is a general health problem. It can occur in young and adults. The most deadly
and prevalent kind is melanoma. It occurs in melanocyte cells, which create melanin, and …
and prevalent kind is melanoma. It occurs in melanocyte cells, which create melanin, and …
A multimodal and interpretable-based approach for improving melanoma detection using dermoscopy images
Background: The global incidence of skin cancers, particularly melanoma, the deadliest
among them, has risen in recent decades. Artificial Intelligence (AI) has yielded remarkable …
among them, has risen in recent decades. Artificial Intelligence (AI) has yielded remarkable …
Characterizing malignant melanoma clinically resembling seborrheic keratosis using deep knowledge transfer
Simple Summary Malignant melanomas (MMs) with aypical clinical presentation constitute a
diagnostic pitfall, and false negatives carry the risk of a diagnostic delay and improper …
diagnostic pitfall, and false negatives carry the risk of a diagnostic delay and improper …
The facial expression recognition technology under image processing and neural network
D Zhao, Y Qian, J Liu, M Yang - The Journal of Supercomputing, 2022 - Springer
A facial expression recognition (FER) algorithm is built on the advanced convolutional
neural network (CNN) to improve the current FER algorithms' recognition rate. The …
neural network (CNN) to improve the current FER algorithms' recognition rate. The …