A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
ABSTRACT The Coronavirus (COVID-19) outbreak in December 2019 has drastically
affected humans worldwide, creating a health crisis that has infected millions of lives and …
affected humans worldwide, creating a health crisis that has infected millions of lives and …
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection
Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …
to explain the complex decision-making process of machine learning (ML) and deep …
Detecting COVID-19 from lung computed tomography images: A swarm optimized artificial neural network approach
COVID-19 has affected many people across the globe. Though vaccines are available now,
early detection of the disease plays a vital role in the better management of COVID-19 …
early detection of the disease plays a vital role in the better management of COVID-19 …
Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks
R Sexauer, P Hejduk, K Borkowski, C Ruppert… - European …, 2023 - Springer
Objectives High breast density is a well-known risk factor for breast cancer. This study aimed
to develop and adapt two (MLO, CC) deep convolutional neural networks (DCNN) for …
to develop and adapt two (MLO, CC) deep convolutional neural networks (DCNN) for …
Heart Disease Prediction using Ensemble ML
Worldwide, heart disease is one of the main causes of mortality. Heart disease early
identification and prevention can significantly enhance patient outcomes and save …
identification and prevention can significantly enhance patient outcomes and save …
DUTC Net: A novel deep ulcer tissue classification network with stage prediction and treatment plan recommendation
V Rajathi, A Chinnasamy, P Selvakumari - Biomedical Signal Processing …, 2024 - Elsevier
Abstract Background and objectives The Chronic injuries caused by the venous valve called
as Varicose ulcers. The pressure in the veins is increased as the valves of the veins allows …
as Varicose ulcers. The pressure in the veins is increased as the valves of the veins allows …
Classification of Diabetic Retinopathy Disease Levels by Extracting Spectral Features Using Wavelet CNN
Diabetic retinopathy (DR) arises from blood vessel damage and is a leading cause of
blindness on a global scale. Clinical professionals rely on examining fundus images to …
blindness on a global scale. Clinical professionals rely on examining fundus images to …
A hybrid approach for stress prediction from heart rate variability
Stress is a condition that causes a specific physiologicsal response. Heart rate variability
(HRV) is a critical aspect in identifying stress. It is crucial for those who want to keep track of …
(HRV) is a critical aspect in identifying stress. It is crucial for those who want to keep track of …
Towards machine learning-based emotion recognition from multimodal data
MF Shahriar, MSA Arnab, MS Khan… - Frontiers of ICT in …, 2023 - Springer
Understanding human emotion is vital to communicate effectively with others, monitor
patients, analyse behaviour, and keep an eye on those who are vulnerable. Emotion …
patients, analyse behaviour, and keep an eye on those who are vulnerable. Emotion …
Computational intelligence in detection and support of autism spectrum disorder
S Ahmed, SB Nur, M Farhad Hossain… - Artificial Intelligence in …, 2022 - Springer
Abstract Autism Spectrum Disorder (ASD) refers to a spectrum of conditions characterised
mainly by impairments in social interaction, speech and nonverbal communication, and …
mainly by impairments in social interaction, speech and nonverbal communication, and …