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 vision for microscopic skin cancer diagnosis using handcrafted and non‐handcrafted features
T Saba - Microscopy Research and Technique, 2021 - Wiley Online Library
Skin covers the entire body and is the largest organ. Skin cancer is one of the most dreadful
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Image processing plays a major role in neurologists' clinical diagnosis in the medical field.
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
Brain tumor detection and multi‐classification using advanced deep learning techniques
A brain tumor is an uncontrolled development of brain cells in brain cancer if not detected at
an early stage. Early brain tumor diagnosis plays a crucial role in treatment planning and …
an early stage. Early brain tumor diagnosis plays a crucial role in treatment planning and …
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 …
Machine learning techniques to detect and forecast the daily total COVID‐19 infected and deaths cases under different lockdown types
T Saba, I Abunadi, MN Shahzad… - Microscopy Research …, 2021 - Wiley Online Library
COVID‐19 has impacted the world in many ways, including loss of lives, economic downturn
and social isolation. COVID‐19 was emerged due to the SARS‐CoV‐2 that is highly …
and social isolation. COVID‐19 was emerged due to the SARS‐CoV‐2 that is highly …
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 …
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 …
Artificial intelligence in brain tumor detection through MRI scans: advancements and challenges
A brain tumor is one of the most perilous diseases in human beings. The manual
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
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 …