Persistent Corneal Edema Market to Show Impressive Growth at a CAGR of 21.8% During the Forecast Period (2025-2034) | DelveInsight

DelveInsight's Persistent Corneal Edema Market Insights report includes a comprehensive understanding of current treatment ...
eLife

From Syllables to Words: EEG Evidence of Different Age Trajectories in Speech Tracking and Statistical Learning in Infants at High and Low Likelihood for Autism

Delayed onset of canonical babbling and first words is often reported in infants later diagnosed with autism spectrum disorder (ASD). Identifying the neural mechanisms underlying language acquisition ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
IEEE

Variance Stabilized Loss Function for Semantic Segmentation of Smaller Objects in Medical Images

Abstract: Accurate segmentation in medical images is a crucial step in a CAD system, improving clinical workflows and proper treatment planning. Deep learning-based approaches have gained popularity ...
Scientific Research Publishing

Xue, Y., Xu, T., Zhang, H., Long, L.R. and Huang, X. (2018) Segan: Adversarial Network with Multi-Scale L1 Loss for Medical Image Segmentation. Neuroinformatics, 16, 383-392.

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
ahajournals.org

Abstract 15934: Automatic Segmentation of Left Ventricular Myocardium and Scar From Lge-cmr Images Utilizing Deep Learning With Weighted Categorical Cross Entropy Loss Function ...

Introduction: Myocardial fibrosis is associated with worsening left ventricular (LV) systolic function and has been found to increase with age. Clinical assessment of myocardial replacement fibrosis ...
Frontiers

EMSAM: enhanced multi-scale segment anything model for leaf disease segmentation

Accurate segmentation of leaf diseases is crucial for crop health management and disease prevention. However, existing studies fall short in addressing issues such as blurred disease spot boundaries ...
Scientific Research Publishing

Speech Emotion Recognition Based on CNN-Transformer with Different Loss Function ()

Speech Emotion Recognition (SER) is crucial for enhancing human-computer interactions by enabling machines to understand and respond appropriately to human emotions. However, accurately recognizing ...