Results 101 to 110 of about 957,081 (355)
Temporal Segmentation for Capturing Snapshots of Patient Histories in Korean Clinical Narrative [PDF]
Healthcare Informatics Research, 2018 ObjectivesClinical discharge summaries provide valuable information about patients' clinical history, which is helpful for the realization of intelligent healthcare applications.
Wangjin Lee, Jinwook Choi
doaj +1 more source
<title>Automated recognition of forest patterns using aerial photographs</title> [PDF]
SPIE Proceedings, 1996 Keywords: Vision Reference LPM-CONF-1996-004View record in Web of Science Record created on 2006-06-22, modified on 2016-08 ...
Sulzmann, A. +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.This nationwide study evaluated KRAS and NRAS mutations in 10 754 Turkish patients with metastatic colorectal cancer. The results revealed a mutation frequency of 51.1%, with 46.6% having KRAS mutations, 4.5% having NRAS mutations, and 48.5% being wild‐type for both.
Gozde Kavgaci +6 more
wiley +1 more source
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks [PDF]
arXiv, 2018 Unconstrained text recognition is an important computer vision task, featuring a wide variety of different sub-tasks, each with its own set of challenges. One of the biggest promises of deep neural networks has been the convergence and automation of feature extractors from input raw signals, allowing for the highest possible performance with minimum ...
arxiv
Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer
Molecular Oncology, EarlyView.Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte +10 more
wiley +1 more source
Frontiers in Human NeuroscienceThe visual scrutinization process for detecting epileptic seizures (ictal patterns) is time-consuming and prone to manual errors, which can have serious consequences, including drug abuse and life-threatening situations.
Piyush Swami +5 more
doaj +1 more source
VASTA: A Vision and Language-assisted Smartphone Task Automation System [PDF]
arXiv, 2019 We present VASTA, a novel vision and language-assisted Programming By Demonstration (PBD) system for smartphone task automation. Development of a robust PBD automation system requires overcoming three key challenges: first, how to make a particular demonstration robust to positional and visual changes in the user interface (UI) elements; secondly, how ...
arxiv
Automated Fabric Defect Inspection: A Survey of Classifiers [PDF]
, 2014 Quality control at each stage of production in textile industry has become a key factor to retaining the existence in the highly competitive global market. Problems of manual fabric defect inspection are lack of accuracy and high time consumption, where early and accurate fabric defect detection is a significant phase of quality control.
arxiv +1 more source
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
Deep Learning for Recognizing Mobile Targets in Satellite Imagery [PDF]
2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR),
Washington, DC, USA, 2018, pp. 1-7, 2020 There is an increasing demand for software that automatically detects and classifies mobile targets such as airplanes, cars, and ships in satellite imagery. Applications of such automated target recognition (ATR) software include economic forecasting, traffic planning, maritime law enforcement, and disaster response.
arxiv