Computer-aided diagnostic (CAD) systems use machine learning methods that provide a
synergistic effect between the neuroradiologist and the computer, enabling an efficient and …

Alzheimer's is one of the fast-growing diseases among people worldwide leading to brain
atrophy. Neuroimaging reveals extensive information about the brain's anatomy and …

Simple Summary Segmentation of brain tumor images from magnetic resonance imaging
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …

A brain tumor is a tumor in the brain that has grown out of control, which is a dangerous
condition for the human body. For later prognosis and treatment planning, the accurate …

Deep learning (DL) is a subfield of artificial intelligence (AI) used in several sectors, such as
cybersecurity, finance, marketing, automated vehicles, and medicine. Due to the …

Sentiment analysis (SA) is the study and analysis of sentiments, appraisals and impressions
by people about entities, person, happening, topics and services. SA uses text analysis …

The developing utilization of web has advanced a simple and quick method for e-
correspondence. The outstanding case for this is e-mail. Presently days sending and …

This paper introduces an automated system for skin cancer (melanoma) detection from Histo-
pathological images sampled from microscopic slides of skin biopsy. The proposed system …

The identification of Parkinson's Disease (PD) is a necessary concern for reducing the
occurrences of nervous disorders and brain death. The prediction of PD based on symptoms …

Fetal biometric size such as abdominal circumference (AC) is used to predict fetal weight or
gestational age in ultrasound images. The automatic biometric measurement can improve …