DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images
Skin cancer is a common cancer affecting millions of people annually. Skin cells inside the
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …
ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific …
Video capsule endoscopy (VCE) is a non-invasive procedure to examine the human bowel.
The VCE technology generates thousands of images from different parts of the …
The VCE technology generates thousands of images from different parts of the …
Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence
This study explores the practical applications of artificial intelligence (AI) in medical imaging,
focusing on machine learning classifiers and deep learning models. The aim is to improve …
focusing on machine learning classifiers and deep learning models. The aim is to improve …
Modified salp swarm algorithm with deep learning based gastrointestinal tract disease classification on endoscopic images
Nowadays, the analysis of gastrointestinal (GI) tract disease utilzing endoscopic image
classification becomes an active research activity from the biomedical sector. The latest …
classification becomes an active research activity from the biomedical sector. The latest …
Ensemble learning using Gompertz function for leukemia classification
Leukemia, a life-threatening disease primarily affecting children below 15 and individuals
aged 55 and above, is characterized by the overproduction of abnormal blood cells. Timely …
aged 55 and above, is characterized by the overproduction of abnormal blood cells. Timely …
Hybrid Models for Endoscopy Image Analysis for Early Detection of Gastrointestinal Diseases Based on Fused Features
The gastrointestinal system contains the upper and lower gastrointestinal tracts. The main
tasks of the gastrointestinal system are to break down food and convert it into essential …
tasks of the gastrointestinal system are to break down food and convert it into essential …
Multimodal machine learning approach for emotion recognition using physiological signals
MA Ramadan, NM Salem, LN Mahmoud… - … Signal Processing and …, 2024 - Elsevier
This study explores a novel approach to emotion recognition through machine learning,
addressing the limitations of previous methods. While deep learning has shown promise in …
addressing the limitations of previous methods. While deep learning has shown promise in …
Color-Transfer-Enhanced Data Construction and Validation for Deep Learning-Based Upper Gastrointestinal Landmark Classification in Wireless Capsule Endoscopy
HS Kim, B Cho, JO Park, B Kang - Diagnostics, 2024 - mdpi.com
While the adoption of wireless capsule endoscopy (WCE) has been steadily increasing, its
primary application remains limited to observing the small intestine, with relatively less …
primary application remains limited to observing the small intestine, with relatively less …
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset
Gastrointestinal (GI) disorders, encompassing conditions like cancer and Crohn's disease,
pose a significant threat to public health. Endoscopic examinations have become crucial for …
pose a significant threat to public health. Endoscopic examinations have become crucial for …
Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma
Glaucoma is an eye disease that spreads over time without showing any symptoms at an
early age and can result in vision loss in advanced ages. The most critical issue in this …
early age and can result in vision loss in advanced ages. The most critical issue in this …