Results 61 to 70 of about 103,521 (261)
Quality assessment of medical diagnostic images restored after compression using the JPEG2000 method
Evaluation of the quality of medical diagnostic images restored after compression is a critically important task in the development and validation of methods and algorithms for compression, transmission, archiving and preprocessing of information in ...
A.G. Stupak, Yu.O. Podchashynskyi
doaj +1 more source
MEDICAL IMAGE COMPRESSION USING HYBRID CODER WITH FUZZY EDGE DETECTION [PDF]
Medical imaging techniques produce prohibitive amounts of digitized clinical data. Compression of medical images is a must due to large memory space required for transmission and storage.
K. Vidhya, S. Shenbagadevi
doaj
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty +13 more
wiley +1 more source
IRREVERSIBLE MEDICAL IMAGE COMPRESSION: CONDITIONS OF ACCEPTABILITY
Acceptance of irreversible image compression applicable to medical imagery is controversial in the medical community. The influence of this irreversible process on degradation of diagnostic image features is considered and how to preserve diagnostic ...
ARTUR PRZELASKOWSKI
doaj
Recently, learning-based lossless compression methods for volumetric medical images have attracted much attention. They can achieve higher compression ratios than traditional methods, albeit at the cost of slower compression speed.
Jietao Chen +5 more
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GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain +11 more
wiley +1 more source
Using Compressed JPEG and JPEG2000 Medical Images in Deep Learning: A Review
Machine Learning (ML), particularly Deep Learning (DL), has become increasingly integral to medical imaging, significantly enhancing diagnostic processes and treatment planning.
Ilona Anna Urbaniak
doaj +1 more source
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey +4 more
wiley +1 more source
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Optimal Compression of Medical Images [PDF]
In today’s healthcare system, medical images are playing a vital role in the diagnosis. The challenges arise to the hospital management systems (HMS) are to store and communicate the large volume of medical images generated by various imaging modalities.
openaire +1 more source

