Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Abstract Introduction Particularly within the Internet of Medical Things (IoMT) context, skin
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
Application of artificial intelligence for classification, segmentation, early detection, early diagnosis, and grading of diabetic retinopathy from fundus retinal images: A …
G Rajarajeshwari, GC Selvi - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) remains a major factor contributing to vision loss worldwide,
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …
particularly among individuals with diabetes. Timely and accurate diagnosis of DR is …
Critical review on resource scheduling in IaaS clouds: Taxonomy, issues, challenges, and future directions
In a cloud computing environment, the primary goal of resource scheduling is to reduce the
economic expenditures for cloud users and grow fiscal achievement for cloud providers. In …
economic expenditures for cloud users and grow fiscal achievement for cloud providers. In …
Mouth and oral disease classification using InceptionResNetV2 method
Digital tools have greatly improved the detection and diagnosis of oral and dental disorders
like cancer and gum disease. Lip or oral cavity cancer is more likely to develop in those with …
like cancer and gum disease. Lip or oral cavity cancer is more likely to develop in those with …
Lyme rashes disease classification using deep feature fusion technique
Automatic classification of Lyme disease rashes on the skin helps clinicians and
dermatologists' probe and investigate Lyme skin rashes effectively. This paper proposes a …
dermatologists' probe and investigate Lyme skin rashes effectively. This paper proposes a …
Autism spectrum disorder detection using facial images: A performance comparison of pretrained convolutional neural networks
Autism spectrum disorder (ASD) is a complex psychological syndrome characterized by
persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal …
persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal …
Vision transformer based convolutional neural network for breast cancer histopathological images classification
Breast cancer (BC) is a widespread and lethal cancer affecting women world-wide. Early
diagnosis plays a pivotal role in ensuring survival, as late detection can result in a fatal …
diagnosis plays a pivotal role in ensuring survival, as late detection can result in a fatal …
Machine learning autoencoder‐based parameters prediction for solar power generation systems in smart grid
During the fourth energy revolution, artificial intelligence implementation is necessary in all
fields of technology to meet the increasing energy demands and address the diminishing …
fields of technology to meet the increasing energy demands and address the diminishing …
A novel machine learning-based classification framework for age-related macular degeneration (amd) diagnosis from fundus images
The increasing prevalence of eye disorders among the elderly has underscored the
importance of early detection through routine eye examinations. Age-related Macular …
importance of early detection through routine eye examinations. Age-related Macular …
Bayesian‐Edge system for classification and segmentation of skin lesions in Internet of Medical Things
Background Skin diseases are severe diseases. Identification of these severe diseases
depends upon the abstraction of atypical skin regions. The segmentation of these skin …
depends upon the abstraction of atypical skin regions. The segmentation of these skin …