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Showing 20 of 74 academic articles

Using an Inspired Quantum-Classical Sequential Neural Network to Segment Liver Tumor Images Accurately

Sonwane Suchitra Shivaji Rao, K. Gangadhara Rao • Journal of Applied Science and Engineering (2026)

Medical analytics based on multimodal intelligence are essential to contemporary healthcare, especially in the diagnosis and detection of liver cancer. However, low contrast, varied textures, and irregular tumor forms in medical imaging con...

DOAJ Open Access (DOAJ) DOI: 10.6180/jase.202701_36.052

A survey of uncertainty in deep neural networks

Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jong‐Seok Lee et al. • Artificial Intelligence Review (2023)

Abstract Over the last decade, neural networks have reached almost every field of science and become a crucial part of various real world applications. Due to the increasing spread, confidence in neural network predictions has become more a...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10462-023-10562-9

XMM-Newton Observations of the High Temperature Plasma in the Large Magellanic Cloud Supernova Remnant N132D

Adam R. Foster, Paul P. Plucinsky, Terrance J. Gaetz, Xi Long et al. • The Astrophysical Journal (2025)

We present an analysis of the archival XMM-Newton observations of the Large Magellanic Cloud (LMC) supernova remnant N132D totaling more than 500 ks. We focus on the high temperature plasma ( kT _e  ∼ 4.5 keV) that is responsible for the hi...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-4357/adcd61

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

Jiaqi Fu, Chaixiu Li, Chunlan Zhou, Wenji Li et al. • Journal of Medical Internet Research (2023)

BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...

DOAJ Open Access (DOAJ) DOI: 10.2196/43349

Analyzing Brain Tumor Classification Techniques: A Comprehensive Survey

Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela et al. • IEEE Access (2024)

Classification of brain tumour is critical in medical image analysis and diagnosis as it aids in determining the affinity of cases to select treatment paths. This feature underscores the importance of accurate classification of brain tumour...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3460380

Computer vision in smart agriculture and precision farming: Techniques and applications

Sumaira Ghazal, Arslan Munir, Waqar Shahid Qureshi • Artificial Intelligence in Agriculture (2024)

The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and artificial intelligence (AI) technologies. Thi...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.aiia.2024.06.004

Lipid vesicle shape analysis from populations using light video microscopy and computer vision.

Jernej Zupanc, Barbara Drašler, Sabina Boljte, Veronika Kralj-Iglič et al. • PLoS ONE (2014)

We present a method for giant lipid vesicle shape analysis that combines manually guided large-scale video microscopy and computer vision algorithms to enable analyzing vesicle populations. The method retains the benefits of light microscop...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0113405

Computer Vision in Healthcare Applications

Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park • Journal of Healthcare Engineering (2018)

The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...

OPENALEX cc-by DOI: https://doi.org/10.1155/2018/5157020 PMC: 5857319

Image decomposition using a second-order variational model and wavelet shrinkage

Minh-Phuong Tran • ELCVIA Electronic Letters on Computer Vision and Image Analysis (2019)

The paper is devoted to the new model for image decomposition, that splits an image $f$ into three components $u+v+\omega$, with $u$ a piecewise-smooth or the ``cartoon'' component, $v$ a texture component and $\omega$ the noise part in var...

DOAJ Open Access (DOAJ) DOI: 10.5565/rev/elcvia.1162

Problems In Indoor Mapping and Modelling

S. Zlatanova, G. Sithole, M. Nakagawa, Q. Zhu • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2013)

Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of thi...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprsarchives-XL-4-W4-63-2013

Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data

Txomin Hermosilla • ELCVIA Electronic Letters on Computer Vision and Image Analysis (2014)

Urban areas areimportant environments, accounting for approximately half the population of theworld. Cities attract residents partly because they offer ample opportunitiesfor development, which often results in urban sprawl and its complex ...

DOAJ Open Access (DOAJ) DOI: 10.5565/rev/elcvia.584

Computer vision for microscopy diagnosis of malaria

Faik Boray TEK, Andrew Graham Dempster, İzzet Kale • 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. Existing works interpret the diagnosis problem differently or prop...

OPENALEX cc-by DOI: https://doi.org/10.1186/1475-2875-8-153 PMC: 2719653

DualSight: multi-stage instance segmentation framework for improved precision

Stephen Price, Kiran Judd, Kyle Tsaknopoulos, Rodica Neamtu et al. • Scientific Reports (2025)

Abstract Powder properties, particularly their morphology (which includes size, shape, surface roughness, etc.), play a critical role in the quality of cold spray additively manufactured materials. A change in feedstock powder morphology ca...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-09642-3

From Data to Decisions: AI in Varicose Veins—Predicting, Diagnosing, and Guiding Effective Management

Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal et al. • Journal of Vascular Diseases (2025)

Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency a...

DOAJ Open Access (DOAJ) DOI: 10.3390/jvd4020019

AnimalTA: A highly flexible and easy‐to‐use program for tracking and analysing animal movement in different environments

Violette Chiara, Sin‐Yeon Kim • Methods in Ecology and Evolution (2023)

Abstract Computer programs for video tracking of animal movement are evolving increasingly efficient, using complex algorithms or artificial intelligence systems. Despite the consequent progress in this field, researchers still face some fu...

DOAJ Open Access (DOAJ) DOI: 10.1111/2041-210X.14115