Results 71 to 80 of about 18,046,440 (303)

Evaluating the Efficacy of Deep Learning Models for Identifying Manipulated Medical Fundus Images

AI
(1) Background: The misuse of transformation technology using medical images is a critical problem that can endanger patients’ lives, and detecting manipulation via a deep learning model is essential to address issues of manipulated medical images that ...
Ho-Jung Song, Ju-Hyuck Han, You-Sang Cho, Yong-Suk Kim   +3 more
doaj   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Relevance feedback and intelligent technologies in content-based image retrieval system for medical applications [PDF]

, 2004
Relevance feedback has gained much interest from researchers in the discipline of content-based image retrieval (CBIR). However, such approach is rarely used in the content-based medical image retrieval (CBMIR) systems.
Fung, C.C., Chung, K.P.
core  

Medical Image Processing on the GPU : Past, Present and Future [PDF]

, 2013
Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they can dramatically accelerate parallel computing, are affordable and energy efficient.
Eklund, Anders,, Dufort, Paul, LaConte, Stephen, Forsberg, Daniel,, Eklund, Anders, Forsberg, Daniel, Dufort, Paul,, LaConte, Stephen,   +7 more
core   +1 more source

Measuring CSF net velocity in the human subarachnoid space with 7T MRI: testing the classical view of CSF absorption

Fluids and Barriers of the CNS
Traditionally, cerebrospinal fluid (CSF) is believed to exit the brain via arachnoid villi, being absorbed into the superior sagittal sinus (SSS), with a net flow towards these exit sites driven by constant CSF turnover.
E. C. van der Voort, M. C. E. van der Plas, M. W. J. M. Gosselink, J. J. M. Zwanenburg   +3 more
doaj   +1 more source

Segmentation model of soft tissue sarcoma based on self-supervised learning

Frontiers in Oncology
IntroductionSoft tissue sarcomas, similar in incidence to cervical and esophageal cancers, arise from various soft tissues like smooth muscle, fat, and fibrous tissue.
Minting Zheng, Minting Zheng, Chenhua Guo, Yifeng Zhu, Xiaoming Gang, Chongyang Fu, Shaowu Wang   +6 more
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

A Novel Artificial-Intelligence-Based Approach for Automatic Assessment of Retinal Disease Images Using Multi-View Deep-Broad Learning Network

IEEE Access
Retinal disease detection and diagnosis relying solely on artificial retinal diseases will put great pressure on doctors and increase the rate of misdiagnosis.
Ao Zhang, Xin Qian, Chengcheng Xu, Jie Zhang   +3 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

3D Vessel Centerline Extraction via Vascular Morphology Driven Adaptive Deep Reinforcement Tracking

IEEE Access
Accurate vessel centerline extraction in medical images has important clinical value for preoperative diagnosis and intraoperative intervention of vascular diseases.
Jingliang Zhao
doaj   +1 more source