Skin cancer disease detection using transfer learning technique
Melanoma is a fatal type of skin cancer; the fury spread results in a high fatality rate when
the malignancy is not treated at an initial stage. The patients' lives can be saved by …
the malignancy is not treated at an initial stage. The patients' lives can be saved by …
Trends and challenges of image analysis in facial emotion recognition: a review
SR Mohanta, K Veer - Network Modeling Analysis in Health Informatics …, 2022 - Springer
In the field of pattern recognition, facial expression recognition (FER) has a significant
influence, and researchers are working hard to develop a better FER system for applications …
influence, and researchers are working hard to develop a better FER system for applications …
Enhancing skin cancer detection and classification in dermoscopic images through concatenated MobileNetV2 and xception models
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …
incidence of skin cancer worldwide and improving early discovery methods for the disease …
Ethical AI in facial expression analysis: racial bias
Facial expression recognition using deep neural networks has become very popular due to
their successful performances. However, the datasets used during the development and …
their successful performances. However, the datasets used during the development and …
Mouth and oral disease classification using InceptionResNetV2 method
Digital tools have greatly improved the detection and diagnosis of oral and dental disorders
like cancer and gum disease. Lip or oral cavity cancer is more likely to develop in those with …
like cancer and gum disease. Lip or oral cavity cancer is more likely to develop in those with …
[PDF][PDF] Real-Time Multiple Guava Leaf Disease Detection from a Single Leaf Using Hybrid Deep Learning Technique.
The guava plant has achieved viable significance in subtropics and tropics owing to its
flexibility to climatic environments, soil conditions and higher human consumption. It is …
flexibility to climatic environments, soil conditions and higher human consumption. It is …
Autism spectrum disorder detection using facial images: A performance comparison of pretrained convolutional neural networks
Autism spectrum disorder (ASD) is a complex psychological syndrome characterized by
persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal …
persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal …
Classification of Alzheimer disease using DenseNet-201 based on deep transfer learning technique
Alzheimer's disease (AD) is a brain illness that causes gradual memory loss. AD has no
treatment and cannot be cured, so early detection is critical. Various AD diagnosis …
treatment and cannot be cured, so early detection is critical. Various AD diagnosis …
[PDF][PDF] Deep learning method to detect the road cracks and potholes for smart cities
The increasing global population at a rapid pace makes road traffic dense; managing such
massive traffic is challenging. In develo** countries like Pakistan, road traffic accidents …
massive traffic is challenging. In develo** countries like Pakistan, road traffic accidents …
Analyze textual data: deep neural network for adversarial inversion attack in wireless networks
MA Al Ghamdi - SN Applied Sciences, 2023 - Springer
Deep neural networks (DNN) are highly effective in a number of tasks related to machine
learning across different domains. It is quite challenging to apply the information gained to …
learning across different domains. It is quite challenging to apply the information gained to …