Results 51 to 60 of about 2,775,880 (287)
Radon-Gabor Barcodes for Medical Image Retrieval
, 2016 In recent years, with the explosion of digital images on the Web, content-based retrieval has emerged as a significant research area. Shapes, textures, edges and segments may play a key role in describing the content of an image.
Banijamali, Ershad +3 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait +23 more
wiley +1 more source
Automatic COVID-19 and Common-Acquired Pneumonia Diagnosis Using Chest CT Scans
Bioengineering, 2023 Even with over 80% of the population being vaccinated against COVID-19, the disease continues to claim victims. Therefore, it is crucial to have a secure Computer-Aided Diagnostic system that can assist in identifying COVID-19 and determining the ...
Pedro Crosara Motta +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson +3 more
wiley +1 more source
Medical Image Denoising using Adaptive Threshold Based on Contourlet Transform
, 2011 Image denoising has become an essential exercise in medical imaging especially the Magnetic Resonance Imaging (MRI). This paper proposes a medical image denoising algorithm using contourlet transform.
Prasad, KVSVR, Satheesh, S.
core +1 more source
Attention Guided Policy Optimization for 3D Medical Image Registration
IEEE Access, 2023 Learning-based image registration approaches typically learn to map from input images to a transformation matrix. Regarding the current deep-learning-based image rigid registration approaches learn a transformation matrix in a one-shot way.
Jing Hu +6 more
doaj +1 more source
An Improved Approach for Contrast Enhancement of Spinal Cord Images based on Multiscale Retinex Algorithm [PDF]
, 2014 This paper presents a new approach for contrast enhancement of spinal cord medical images based on multirate scheme incorporated into multiscale retinex algorithm. The proposed work here uses HSV color space, since HSV color space separates color details
Hanumantharaju, M. C +2 more
core
A Latent Source Model for Patch-Based Image Segmentation
, 2015 Despite the popularity and empirical success of patch-based nearest-neighbor and weighted majority voting approaches to medical image segmentation, there has been no theoretical development on when, why, and how well these nonparametric methods work.
Chen, George +2 more
core +1 more source
Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma
Pediatric Blood &Cancer, EarlyView.ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul +13 more
wiley +1 more source
Frontiers in Neuroscience, 2021 Diabetes with high blood glucose levels may damage the brain nerves and thus increase the risk of dementia. Previous studies have shown that dementia can be reflected in altered brain structure, facilitating computer-aided diagnosis of brain diseases ...
Yuna Chen +14 more
doaj +1 more source