AIMC Topic: Humans

Clear Filters Showing 57151 to 57160 of 95995 articles

Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis.

Scientific reports
Craniosynostosis is a condition in which cranial sutures fuse prematurely, causing problems in normal brain and skull growth in infants. To limit the extent of cosmetic and functional problems, swift diagnosis is needed. The goal of this study is to ...

Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments.

BMC medical genomics
BACKGROUND: Machine learning (ML) methods still have limited applicability in personalized oncology due to low numbers of available clinically annotated molecular profiles. This doesn't allow sufficient training of ML classifiers that could be used f...

A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development.

BMC medical informatics and decision making
BACKGROUND: Today's healthcare organizations want to implement secure and quality healthcare software as cyber-security is a significant risk factor for healthcare data. Considering security requirements during trustworthy healthcare software develop...

Brain tumor segmentation using 3D Mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging.

Physics in medicine and biology
The segmentation of neoplasms is an important part of radiotherapy treatment planning, monitoring disease progression, and predicting patient outcome. In the brain, functional magnetic resonance imaging (MRI) like dynamic susceptibility contrast enha...

Comparison and Validation of Deep Learning Models for the Diagnosis of Pneumonia.

Computational intelligence and neuroscience
As a respiratory infection, pneumonia has gained great attention from countries all over the world for its strong spreading and relatively high mortality. For pneumonia, early detection and treatment will reduce its mortality rate significantly. Curr...

Infrared and visible image fusion method of dual NSCT and PCNN.

PloS one
To solve the problem that the details of fusion images are not retained well and the information of feature targets is incomplete, we proposed a new fusion method of infrared (IR) and visible (VI) image-IR and VI image fusion method of dual non-subsa...

A comparison of the efficacy, safety, and duration of frame-based and Remebot robot-assisted frameless stereotactic biopsy.

British journal of neurosurgery
OBJECTIVE: The aim of this study was to compare the efficacy, safety, and duration of Remebot robot-assisted frameless brain biopsy with those of standard frame-based stereotactic biopsy.

Exploring the growth of COVID-19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning.

Transboundary and emerging diseases
The coronavirus disease 2019 (COVID-19) pandemic spread by the single-stranded RNA severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the seventh generation of the coronavirus family. Following an unusual replication mechanism, i...

Early Projection of Kidney Allograft Rejection Through Deep Learning: A Way Forward.

Experimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation