Facial emotion recognition using conventional machine learning and deep learning methods: current achievements, analysis and remaining challenges
AR Khan - Information, 2022 - mdpi.com
Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
Classification of acute lymphoblastic leukemia using deep learning
Acute Leukemia is a life‐threatening disease common both in children and adults that can
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
Topic classification of online news articles using optimized machine learning models
Much news is available online, and not all is categorized. A few researchers have carried
out work on news classification in the past, and most of the work focused on fake news …
out work on news classification in the past, and most of the work focused on fake news …
Harris hawks sparse auto-encoder networks for automatic speech recognition system
Automatic speech recognition (ASR) is an effective technique that can convert human
speech into text format or computer actions. ASR systems are widely used in smart …
speech into text format or computer actions. ASR systems are widely used in smart …
Automated lung nodule detection and classification based on multiple classifiers voting
T Saba - Microscopy research and technique, 2019 - Wiley Online Library
Lung cancer is the most common cause of cancer‐related death globally. Currently, lung
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
Image enhancement and segmentation techniques for detection of knee joint diseases: A survey
Background: Knee bone diseases are rare but might be highly destructive. Magnetic
Resonance Imaging (MRI) is the main approach to identify knee cancer and its treatment …
Resonance Imaging (MRI) is the main approach to identify knee cancer and its treatment …
[PDF][PDF] A survey and analysis of the image encryption methods
At the present time, the protection of multimedia data has become a very important process
which can be achieved by encryption. Basically, so many different techniques have been …
which can be achieved by encryption. Basically, so many different techniques have been …
Precise segmentation techniques in various medical images
Today numerous imaging systems are utilized in medical treatment. There are a variety of
imaging techniques for the diagnosis of brain tumors, lung nodules and liver tumors and …
imaging techniques for the diagnosis of brain tumors, lung nodules and liver tumors and …
Microscopic retinal blood vessels detection and segmentation using support vector machine and K‐nearest neighbors
The retina is the deepest layer of texture covering the rear of the eye, recorded by fundus
images. Vessel detection and segmentation are useful in disease diagnosis. The retina's …
images. Vessel detection and segmentation are useful in disease diagnosis. The retina's …
Deep convolutional generative adversarial network for Alzheimer's disease classification using positron emission tomography (PET) and synthetic data augmentation
With the evolution of deep learning technologies, computer vision‐related tasks achieved
tremendous success in the biomedical domain. For supervised deep learning training, we …
tremendous success in the biomedical domain. For supervised deep learning training, we …