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 …
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 …
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 …
Pearson correlation-based feature selection for document classification using balanced training
Documents are stored in a digital form across several organizations. Printing this amount of
data and placing it into folders instead of storing digitally is against the practical, economical …
data and placing it into folders instead of storing digitally is against the practical, economical …
Machine learning techniques to detect and forecast the daily total COVID‐19 infected and deaths cases under different lockdown types
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 …
[PDF][PDF] Deep learning-based classification of fruit diseases: An application for precision agriculture
Agriculture is essential for the economy and plant disease must be minimized. Early
recognition of problems is important, but the manual inspection is slow, error-prone, and has …
recognition of problems is important, but the manual inspection is slow, error-prone, and has …
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 …
Human action recognition using machine learning in uncontrolled environment
Video based Human Action Recognition (HAR) is an active research field of Machine
Learning (ML) and human detection in videos is the most important step in action …
Learning (ML) and human detection in videos is the most important step in action …
Smart fashion: a review of AI applications in the Fashion & Apparel Industry
The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …