Emerging research trends in artificial intelligence for cancer diagnostic systems: A comprehensive review
This review article offers a comprehensive analysis of current developments in the
application of machine learning for cancer diagnostic systems. The effectiveness of machine …
application of machine learning for cancer diagnostic systems. The effectiveness of machine …
Vision transformers in image restoration: A survey
The Vision Transformer (ViT) architecture has been remarkably successful in image
restoration. For a while, Convolutional Neural Networks (CNN) predominated in most …
restoration. For a while, Convolutional Neural Networks (CNN) predominated in most …
Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion
Tuberculosis (TB) is a fatal disease in develo** countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
Automatic and early detection of Parkinson's disease by analyzing acoustic signals using classification algorithms based on recursive feature elimination method
Parkinson's disease (PD) is a neurodegenerative condition generated by the dysfunction of
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
Recent advancements and future prospects in active deep learning for medical image segmentation and classification
Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
medical image segmentation improves diagnosis and decision-making, aiding intelligent …
A systematic review of real-time deep learning methods for image-based cancer diagnostics
H Sriraman, S Badarudeen, S Vats… - Journal of …, 2024 - Taylor & Francis
Deep Learning (DL) drives academics to create models for cancer diagnosis using medical
image processing because of its innate ability to recognize difficult-to-detect patterns in …
image processing because of its innate ability to recognize difficult-to-detect patterns in …
Hybrid techniques for the diagnosis of acute lymphoblastic leukemia based on fusion of CNN features
Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
Multi-techniques for analyzing x-ray images for early detection and differentiation of pneumonia and tuberculosis based on hybrid features
An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits.
One of the most important methods for identifying and diagnosing pneumonia and …
One of the most important methods for identifying and diagnosing pneumonia and …
Automatic classification of colour fundus images for prediction eye disease types based on hybrid features
A Shamsan, EM Senan, HSA Shatnawi - Diagnostics, 2023 - mdpi.com
Early detection of eye diseases is the only solution to receive timely treatment and prevent
blindness. Colour fundus photography (CFP) is an effective fundus examination technique …
blindness. Colour fundus photography (CFP) is an effective fundus examination technique …
TESR: two-stage approach for enhancement and super-resolution of remote sensing images
Remote Sensing (RS) images are usually captured at resolutions lower than those required.
Deep Learning (DL)-based super-resolution (SR) architectures are typically used to …
Deep Learning (DL)-based super-resolution (SR) architectures are typically used to …