Results 31 to 40 of about 3,985,830 (299)

Computer vision for microscopy diagnosis of malaria

Malaria Journal, 2009
This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears.
Dempster Andrew G, Tek F Boray, Kale Izzet   +2 more
doaj   +1 more source

Human motion recognition using gaussian processes classification

, 2008
This paper investigates the applicability of Gaussian processes (GP) classification for recognition of articulated and deformable human motions from image sequences.
Liang Wang, Suter, D., Hang Zhou, Wang, L., Zhou, H., David Suter   +5 more
core   +1 more source

Mango Leaf Disease Recognition and Classification Using Novel Segmentation and Vein Pattern Technique

Applied Sciences, 2021
Mango fruit is in high demand. So, the timely control of mango plant diseases is necessary to gain high returns. Automated recognition of mango plant leaf diseases is still a challenge as manual disease detection is not a feasible choice in this ...
Rabia Saleem, Jamal Hussain Shah, Muhammad Sharif, Mussarat Yasmin, Hwan-Seung Yong, Jaehyuk Cha   +5 more
doaj   +1 more source

Survival After Hematopoietic Stem Cell Transplantation in Diamond–Blackfan Anemia Syndrome: The Role of Iron Overload—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens, Evangelia Kiakou, Lieke de Zwart, Maurizio Miano, Eduard J. van Beers, Marc Bierings, Marije Bartels   +6 more
wiley   +1 more source

Statistical Proof Pattern Recognition: Automated or Interactive?

CoRR, 2013
In this paper, we compare different existing approaches employed in data mining of big proof libraries in automated and interactive theorem proving.
Jónathan Heras, Ekaterina Komendantskaya   +1 more
openaire   +3 more sources

The use of on-line co-training to reduce the training set size in pattern recognition methods: application to left ventricle segmentation in ultrasound

, 2012
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years.
Nascimento, J., Carneiro, G., G. Carneiro, J. C. Nascimento   +3 more
core   +1 more source

A Situational Assessment of the Diagnostic Landscape and Organizational Readiness to Implement Next‐Generation Sequencing at Two Childhood Cancer Treatment Centers in Ghana

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Next‐generation sequencing (NGS) has emerged as a promising approach to improve diagnostic accuracy, but its feasibility in low‐ and middle‐income countries remains unknown. This study characterized the diagnostic landscape and assessed organizational readiness for NGS implementation at two childhood cancer treatment centers in Accra ...
Melissa Carvalho, Emmanuella Amoako, Nihad Salifu, Lily Gloria Tagoe, Yaw Bediako, Michelle Hermiston, Catherine Segbefia   +6 more
wiley   +1 more source

ANALYSIS OF ECG SIGNALS BY DIVERSE AND COMPOSITE FEATURES

Electrica, 2007
In this study, the automated diagnostic systems employing diverse and composite features for electrocardiogram (ECG) signals were analyzed and their accuracies were determined.
Elif Derya ÜBEYLİ
doaj   +2 more sources

Beyond the Document: A Single‐Center Qualitative Study of Survivorship Care Plan Barriers and Opportunities Across Pediatric Oncology Stakeholders

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivorship care plans (SCPs) summarize cancer treatment and guide risk‐based follow‐up for cancer survivors, yet remain difficult to create, share, and use. Stakeholder perspectives are needed to inform usable approaches.
Molly S. Talman, Emma Fleisher, Megan E. Salwei, Debra Friedman, Laurie Novak   +4 more
wiley   +1 more source

Recognizing Temporal Information in Korean Clinical Narratives through Text Normalization [PDF]

Healthcare Informatics Research, 2011
ObjectivesAcquiring temporal information is important because knowledge in clinical narratives is time-sensitive. In this paper, we describe an approach that can be used to extract the temporal information found in Korean clinical narrative texts ...
Youngho Kim, Jinwook Choi
doaj   +1 more source