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 …
Computer-assisted brain tumor type discrimination using magnetic resonance imaging features
Medical imaging plays an integral role in the identification, segmentation, and classification
of brain tumors. The invention of MRI has opened new horizons for brain-related research …
of brain tumors. The invention of MRI has opened new horizons for brain-related research …
Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation
Automatic and precise segmentation and classification of tumor area in medical images is
still a challenging task in medical research. Most of the conventional neural network based …
still a challenging task in medical research. Most of the conventional neural network based …
Brain tumor classification based on hybrid approach
Various computer systems have attracted more researchers' attention to arrive at a
qualitative diagnosis in a few times. Different brain tumor classification approaches are …
qualitative diagnosis in a few times. Different brain tumor classification approaches are …
Detection of copy-move image forgery based on discrete cosine transform
Since powerful editing software is easily accessible, manipulation on images is expedient
and easy without leaving any noticeable evidences. Hence, it turns out to be a challenging …
and easy without leaving any noticeable evidences. Hence, it turns out to be a challenging …
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 …
Cloud‐based decision support system for the detection and classification of malignant cells in breast cancer using breast cytology images
The advancement of computer‐and internet‐based technologies has transformed the nature
of services in healthcare by using mobile devices in conjunction with cloud computing. The …
of services in healthcare by using mobile devices in conjunction with cloud computing. The …
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 …
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 …