Results 71 to 80 of about 1,151,344 (286)

Red-lesion extraction in retinal fundus images by directional intensity changes’ analysis

Scientific Reports, 2021
Diabetic retinopathy (DR) is an important retinal disease threatening people with the long diabetic history. Blood leakage in retina leads to the formation of red lesions in retina the analysis of which is helpful in the determination of severity of ...
Maryam Monemian, Hossein Rabbani
doaj   +1 more source

Sensors, Medical Images and Signal Processing: [PDF]

Yearbook of Medical Informatics, 2009
Summary Objectives To summarize current excellent research in the field of medical sensor, signal and imaging informatics. Method Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2009. Results Current research in the field of sensors, signal, and imaging informatics is
A, Depeursinge, H, Müller
openaire   +2 more sources

Fast Predictive Simple Geodesic Regression

, 2017
Deformable image registration and regression are important tasks in medical image analysis. However, they are computationally expensive, especially when analyzing large-scale datasets that contain thousands of images.
CR Jack, M Niethammer, M Zhang, MA Ikram, PA Yushkevich, PT Fletcher, X Yang, Y Hong   +7 more
core   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

Medical image denoising using convolutional denoising autoencoders

, 2016
Image denoising is an important pre-processing step in medical image analysis. Different algorithms have been proposed in past three decades with varying denoising performances.
Gondara, Lovedeep
core   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

FEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Evaluation of lesion contrast in the walk-through long axial FOV PET scanner simulated with XCAT anthropomorphic phantoms

EJNMMI Physics
Background This study evaluates the lesion contrast in a cost-effective long axial field of view (FOV) PET scanner, called the walk-through PET (WT-PET).
Meysam Dadgar, Jens Maebe, Stefaan Vandenberghe   +2 more
doaj   +1 more source

Barcode Annotations for Medical Image Retrieval: A Preliminary Investigation

, 2015
This paper proposes to generate and to use barcodes to annotate medical images and/or their regions of interest such as organs, tumors and tissue types. A multitude of efficient feature-based image retrieval methods already exist that can assign a query ...
Tizhoosh, Hamid R.
core   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Enhanced Retinal Vessel Segmentation Using Dynamic Contrast Stretching and Mathematical Morphology on Fundus Images

Applied Computational Intelligence and Soft Computing
Retinal vessel segmentation algorithms are crucial in automated retinal disease screening systems, as accurate determination of blood vessel structures is vital for ocular disease identification and diagnosis.
El-Mehdi Chakour, Yasmine Mrad, Anass Mansouri, Yaroub Elloumi, Idriss Benatiya Andaloussi, Mohamed Hedi Bedoui, Ali Ahaitouf   +6 more
doaj   +1 more source