Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
Tackling class imbalance in computer vision: a contemporary review
Class imbalance is a key issue affecting the performance of computer vision applications
such as medical image analysis, objection detection and recognition, image segmentation …
such as medical image analysis, objection detection and recognition, image segmentation …
DSCC_Net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images
Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer …
O Attallah - Computers in Biology and Medicine, 2024 - Elsevier
Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
SBXception: a shallower and broader xception architecture for efficient classification of skin lesions
Simple Summary Skin cancer is a major concern worldwide, and accurately identifying it is
crucial for effective treatment. we propose a modified deep learning model called …
crucial for effective treatment. we propose a modified deep learning model called …
Improving operations through a lean AI paradigm: A view to an AI-aided lean manufacturing via versatile convolutional neural network
Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …
revolutionary approach to optimize production processes, reduce waste, and enhance …
Human–computer interaction with a real-time speech emotion recognition with ensembling techniques 1D convolution neural network and attention
W Alsabhan - Sensors, 2023 - mdpi.com
Emotions have a crucial function in the mental existence of humans. They are vital for
identifying a person's behaviour and mental condition. Speech Emotion Recognition (SER) …
identifying a person's behaviour and mental condition. Speech Emotion Recognition (SER) …
[HTML][HTML] A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images
Artificial intelligence (AI) systems can assist in analyzing medical images and aiding in the
early detection of diseases. AI can also ensure the quality of services by avoiding …
early detection of diseases. AI can also ensure the quality of services by avoiding …
Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets
O Attallah - Scientific Reports, 2024 - nature.com
Skin cancer (SC) is an important medical condition that necessitates prompt identification to
ensure timely treatment. Although visual evaluation by dermatologists is considered the …
ensure timely treatment. Although visual evaluation by dermatologists is considered the …