High-accuracy lung disease classification via logistic regression and advanced feature extraction techniques

Egyptian Informatics Journal, Journal Year: 2024, Volume and Issue: 29, P. 100596 - 100596

Published: Dec. 20, 2024

Language: Английский

Dual-input Dual-stream Network with Two-fold Margin Loss for Improved Brain Tumor Detection on MRI Images

Published: June 5, 2024

Brain tumor being one of the major health hazards always needs a prompt diagnosis for early treatment options to improve chances survival patients. Traditional manual assessment MRI (magnetic resonance imaging) identify these conditions is common practice. Hence, automation practices can considerably quality procedures. In recent years almost every method automated brain detection uses deep learning technique. Despite decent works current techniques need significant improvement produce better results. Along with failure results, models present very complex architectures which sometimes require huge computational resources. Therefore, in this paper we novel that lightweight dual-stream model dual-input detect tumors on images. Both inputs use different pre-processing mechanisms based Contrast Limited Adaptive Histogram Equalization (CLAHE) and White Patch Retinex algorithm order enhance feature capabilities proposed model. addition, two-fold margin loss boost training process learning. The produces state-of-the-art results Glioma, Meningioma Pituitary tumors. presents accuracy 99%, 98% 99% respectively detection.

Language: Английский

High-Quality, Low-Quantity: A Data-Centric Approach to Deep Learning Performance Optimization in Digital X-Ray Radiography

Published: Jan. 1, 2024

Language: Английский