Medical image identification methods: A review
J Li, P Jiang, Q An, GG Wang, HF Kong - Computers in Biology and …, 2024 - Elsevier
The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …
medical image retrieval and mining. Medical image data mainly include electronic health …
A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm
L Zhang, J Zhang, W Gao, F Bai, N Li… - … Signal Processing and …, 2024 - Elsevier
Skin cancer is a risky ailment that can be effectively managed if detected promptly. However,
timely recognition of skin cancer remains a challenge. In this study, a robotic computer …
timely recognition of skin cancer remains a challenge. In this study, a robotic computer …
An effective skin cancer classification mechanism via medical vision transformer
Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of
people every year. Early SC detection can increase the survival rate for patients up to 70 …
people every year. Early SC detection can increase the survival rate for patients up to 70 …
[HTML][HTML] AI in dermatology: a comprehensive review into skin cancer detection
Background Artificial Intelligence (AI) is significantly transforming dermatology, particularly in
early skin cancer detection and diagnosis. This technological advancement addresses a …
early skin cancer detection and diagnosis. This technological advancement addresses a …
SkinNet-INIO: multiclass skin lesion localization and classification using fusion-assisted deep neural networks and improved nature-inspired optimization algorithm
Background: Using artificial intelligence (AI) with the concept of a deep learning-based
automated computer-aided diagnosis (CAD) system has shown improved performance for …
automated computer-aided diagnosis (CAD) system has shown improved performance for …
An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network
In the recent technological era, advancement in the application allows faster transmission of
data massively over the network, and it leads to the emergence of challenges related to high …
data massively over the network, and it leads to the emergence of challenges related to high …
Pharmaceutical supply chain challenges and inventory management
The pharmaceutical humanitarian supply chain works tirelessly in an unstable, difficult
environment wrought by crises and epidemics. Increasing visibility along the medical supply …
environment wrought by crises and epidemics. Increasing visibility along the medical supply …
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 …
DDCNN-F: double decker convolutional neural network'F'feature fusion as a medical image classification framework
N Veeramani, P Jayaraman, R Krishankumar… - Scientific Reports, 2024 - nature.com
Melanoma is a severe skin cancer that involves abnormal cell development. This study aims
to provide a new feature fusion framework for melanoma classification that includes a novel …
to provide a new feature fusion framework for melanoma classification that includes a novel …
Squeeze-mnet: Precise skin cancer detection model for low computing IOT devices using transfer learning
Simple Summary Skin cancer is a life-threatening condition. It is difficult to diagnose in its
early stages; therefore, we proposed an easy-to-use telemedicine device to tackle skin …
early stages; therefore, we proposed an easy-to-use telemedicine device to tackle skin …