[HTML][HTML] A hybrid approach for melanoma classification using ensemble machine learning techniques with deep transfer learning
Abstract Generally, Melanoma, Merkel cell cancer, Squamous cell carcinoma, and Basal cell
carcinoma, are the four major categories of skin cancers. In contrast to other cancer types …
carcinoma, are the four major categories of skin cancers. In contrast to other cancer types …
SleepSmart: an IoT-enabled continual learning algorithm for intelligent sleep enhancement
Sleep is an essential physiological process that is crucial for human health and well-being.
However, with the rise of technology and increasing work demands, people are …
However, with the rise of technology and increasing work demands, people are …
Privacy preserving attribute-focused anonymization scheme for healthcare data publishing
JA Onesimu, J Karthikeyan, J Eunice, M Pomplun… - IEEE …, 2022 - ieeexplore.ieee.org
Advancements in Industry 4.0 brought tremendous improvements in the healthcare sector,
such as better quality of treatment, enhanced communication, remote monitoring, and …
such as better quality of treatment, enhanced communication, remote monitoring, and …
[HTML][HTML] An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification
Effective sleep monitoring from electroencephalogram (EEG) signals is meaningful for the
diagnosis of sleep disorders, such as sleep Apnea, Insomnia, Snoring, Sleep …
diagnosis of sleep disorders, such as sleep Apnea, Insomnia, Snoring, Sleep …
A review of automated sleep stage based on EEG signals
X Zhang, X Zhang, Q Huang, Y Lv, F Chen - Biocybernetics and Biomedical …, 2024 - Elsevier
Sleep disorders have increasingly impacted healthy lifestyles. Accurate scoring of sleep
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …
An effective model for the iris regional characteristics and classification using deep learning alex network
T Balashanmugam, K Sengottaiyan… - IET Image …, 2023 - Wiley Online Library
Iris biometrics is one of the fastest‐growing technologies, and it has received a lot of
attention from the community. Iris‐biometric‐based human recognition does not require …
attention from the community. Iris‐biometric‐based human recognition does not require …
Lung_PAYNet: a pyramidal attention based deep learning network for lung nodule segmentation
Accurate and reliable lung nodule segmentation in computed tomography (CT) images is
required for early diagnosis of lung cancer. Some of the difficulties in detecting lung nodules …
required for early diagnosis of lung cancer. Some of the difficulties in detecting lung nodules …
An effective EEG signal-based sleep staging system using machine learning techniques
SK Satapathy, S Thakkar, A Patel… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
Single-channel electroencephalography (EEG) is the most popular choice of sensing
modality in sleep staging studies because it widely conforms to sleep staging guidelines …
modality in sleep staging studies because it widely conforms to sleep staging guidelines …
Early detection of Alzheimer's disease using squeeze and excitation network with local binary pattern descriptor
Alzheimer's disease is a degenerative brain disease that impairs memory, thinking skills,
and the ability to perform even the most basic tasks. The primary challenge in this domain is …
and the ability to perform even the most basic tasks. The primary challenge in this domain is …
基于深度学习的自动睡眠分期研究综述.
刘颖， 储浩然， 章浩伟 - … Acquisition & Processing/Shu Ju Cai …, 2023 - search.ebscohost.com
睡眠分期是为了分析多导睡眠图记录而进行的重要过程, 在睡眠监测和睡眠障碍诊疗中发挥着
关键作用. 传统的手动睡眠分期需要专业知识, 繁琐且耗时; 而深度学习通过模拟人脑解释信息的 …
关键作用. 传统的手动睡眠分期需要专业知识, 繁琐且耗时; 而深度学习通过模拟人脑解释信息的 …