[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
[HTML][HTML] Automatic assessment of pain based on deep learning methods: A systematic review
S Gkikas, M Tsiknakis - Computer methods and programs in biomedicine, 2023 - Elsevier
Abstract Background and Objective: The automatic assessment of pain is vital in designing
optimal pain management interventions focused on reducing suffering and preventing the …
optimal pain management interventions focused on reducing suffering and preventing the …
Convolutional neural network for multi-class classification of diabetic eye disease
Prompt examination increases the chances of effective treatment of Diabetic Eye Disease
(DED) and reduces the likelihood of permanent deterioration of vision. A key tool commonly …
(DED) and reduces the likelihood of permanent deterioration of vision. A key tool commonly …
Automated detection of mild and multi-class diabetic eye diseases using deep learning
Diabetic eye disease is a collection of ocular problems that affect patients with diabetes.
Thus, timely screening enhances the chances of timely treatment and prevents permanent …
Thus, timely screening enhances the chances of timely treatment and prevents permanent …
[HTML][HTML] A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions
B Pandey, DK Pandey, BP Mishra… - Journal of King Saud …, 2022 - Elsevier
The extensive growth of data in the health domain has increased the utility of Deep Learning
in health. Deep learning is a highly advanced successor of artificial neural networks, having …
in health. Deep learning is a highly advanced successor of artificial neural networks, having …
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
Coronavirus (which is also known as COVID-19) is severely impacting the wellness and
lives of many across the globe. There are several methods currently to detect and monitor …
lives of many across the globe. There are several methods currently to detect and monitor …
[HTML][HTML] Image preprocessing in classification and identification of diabetic eye diseases
Diabetic eye disease (DED) is a cluster of eye problem that affects diabetic patients.
Identifying DED is a crucial activity in retinal fundus images because early diagnosis and …
Identifying DED is a crucial activity in retinal fundus images because early diagnosis and …
Automatic detection of diabetic eye disease through deep learning using fundus images: a survey
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
[PDF][PDF] Facial expression recognition based on deep learning convolution neural network: A review
SMS Abdullah, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Facial emotional processing is one of the most important activities in effective calculations,
engagement with people and computers, machine vision, video game testing, and consumer …
engagement with people and computers, machine vision, video game testing, and consumer …
[HTML][HTML] Automatic breast lesion segmentation in phase preserved DCE-MRIs
We offer a framework for automatically and accurately segmenting breast lesions from
Dynamic Contrast Enhanced (DCE) MRI in this paper. The framework is built using max flow …
Dynamic Contrast Enhanced (DCE) MRI in this paper. The framework is built using max flow …