IEEE

On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning

Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...
IEEE

A Robust Hybrid CNN+ViT Framework for Breast Cancer Classification Using Mammogram Images

Abstract: Breast cancer is the most frequent type of cancer largely experienced by women currently, although it could happen to men also. It appears when abnormal breast tissue cells grow rapidly and ...
IEEE

Drone Cyber Attack Detection Through Machine Learning

Abstract: The use of Unmanned Aerial Vehicles (UAVs) or drones has rapidly spread across all major industries creating great instable cybersecurity challenges. With increasingly more uses such as ...
AlphaGalileo

AI-driven phenotyping pipeline unveils how wheat spike architecture shapes grain yield

A research team has developed a deep learning–based phenotyping pipeline called SpikePheno to decode the complex architecture ...
IEEE

Faster R-CNN vs SSD: A Deep Learning Approach for Nodule Detection in Lung Cancer Diagnosis

Abstract: Deep learning-based object identification technology has numerous uses, including facial recognition, commercial analytics, and medical imaging analysis. An object detector has a backbone ...
IEEE

Optimized CNN Architecture based on Mutant Particle Swarm Optimization and Opposition Based Learning for Image Classification

Abstract: Recent improvements in Convolution Neural Networks (CNN) have demonstrated extraordinary performance in solving real-world problems. However, the performance of CNN depends purely on its ...
IEEE

Advanced Teeth Instance Segmentation Using Contextual Spatial Attention and Deeper Mask Head

Abstract: Dental image analysis has advanced significantly with deep learning, yet achieving accurate teeth segmentation remains challenging, particularly with complex structures like adjacent or ...
IEEE

Enhancing Diagnosis of Neurodevelopmental Disorder using Artificial Intelligence and Machine Learning

Abstract: Neuro-Developmental Disorders (NDDs), including Autism Spectrum Disorder (ASD), Attention-Deficit/Hyperactivity Disorder( ADHD), and intellectual ...
Journal of Medical Internet Research

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...
IEEE

Prediction of Asthma Using Machine Learning Algorithms

Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
Hosted on MSN

Stop Using Hair Mask- 5 Reasons why!

Discover the Hidden Dangers of Hair Masks: Are They Damaging Your Hair? 🌿🚫 In this must-watch video, we reveal the shocking side effects of hair masks and why they might be secretly harming your ...
IEEE

Domain-Aware Transfer Learning With SAM-Assisted Mask R-CNN for Urban Tree Crown Delineation From UAV Orthophotos

Abstract: Accurate tree crown delineation from very high-resolution UAV orthophotos in urban areas remains challenging due to landscape complexity and the scarcity of representative annotated data.