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TRANSFER LEARNING: INCEPTION-V3 BASED CUSTOM CLASSIFICATION APPROACH FOR FOOD IMAGES

Vishwanath C Burkapalli, Priyadarshini C Patil • ICTACT Journal on Image and Video Processing (2020)

Deep-learning approach has become more popular in the field of image processing. When it is concerned with health issues, there are lots of improvements in the applications of food image classification by deep learning methods. Transfer lea...

DOAJ Open Access (DOAJ) DOI: 10.21917/ijivp.2020.0321

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief (2021)

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107478

A Virtual Reading Center Model Using Crowdsourcing to Grade Photographs for Trachoma: Validation Study

Christopher J Brady, R Chase Cockrell, Lindsay R Aldrich, Meraf A Wolle et al. • Journal of Medical Internet Research (2023)

BackgroundAs trachoma is eliminated, skilled field graders become less adept at correctly identifying active disease (trachomatous inflammation—follicular [TF]). Deciding if trachoma has been eliminated from a district or if treatment strat...

DOAJ Open Access (DOAJ) DOI: 10.2196/41233

Medical informatics education.

Nicos Maglaveras • PubMed (1998)

Medical Informatics is a multidisciplinary field, dealing mainly with informatics and technology applications in health care. Medical Informatics is composed from a number of sub-areas such as computer based patient record (CPR), processing...

OPENALEX DOI: https://doi.org/10.3233/978-1-60750-900-4-135

Automated measurement of CD8+ T-cell distribution at the tumor epithelial–stromal interface is associated with NSCLC immunotherapy benefit and transcriptomic pathways

Patrick Leo, Hauke Kolster, Hartmut Koeppen, Jennifer Giltnane et al. • Journal of Pathology Informatics (2026)

Whereas anti-PD-(L)1 therapies are widely used in cancer treatment, only a subset of patients achieve long-term survival. Companion diagnostics based on PD-L1 expression have limited predictive power for these therapies, motivating developm...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jpi.2026.100688

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study

Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics (2025)

Abstract BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...

DOAJ Open Access (DOAJ) DOI: 10.2196/67529

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health (2022)

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076221120317

Artificial intelligence-driven anthropometric assessment for young children: evaluating the accuracy and practicality of a digital image-based length and weight prediction tool

Fabian Yap, Daniel Chan, Mei Chien Chua, Matthew Hadimaja et al. • BMJ Health & Care Informatics (2025)

Background Monitoring early childhood growth is vital, as growth faltering could indicate nutritional or health issues requiring prompt intervention. Our study’s aim was to assess the performance of a length-weight artificial intelligence (...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101540

An Integrated Approach for Designing and Analyzing Lumbar Vertebral Biomodels with Artificial Disc Replacement

Mhd Ayham Darwich, Katreen Ebrahem, Maysaa Shash, Hasan Mhd Nazha et al. • Applied Mechanics (2023)

This study aims to develop an integrated approach for 3D lumbar vertebral biomodel design and analysis, specifically targeting unilevel disc degeneration and the replacement of lumbar artificial discs. Key objectives include improving exist...

DOAJ Open Access (DOAJ) DOI: 10.3390/applmech4040063

A Focus on Simulation in Medical Informatics

James G. Anderson • Journal of the American Medical Informatics Association (2002)

This special issue of JAMIA addresses simulation, a methodology that holds great promise for the advancement of information technology in health care. Simulation has been termed a third domain, complementing both natural language and mathem...

OPENALEX Open Access DOI: https://doi.org/10.1197/jamia.m1167 PMC: 346642

Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial

D. Ontaneda, P. Sati, P. Raza, M. Kilbane et al. • NeuroImage: Clinical (2021)

The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overrelianc...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102834

Multi-label classification of fundus images based on graph convolutional network

Yinlin Cheng, Mengnan Ma, Xingyu Li, Yi Zhou • BMC Medical Informatics and Decision Making (2021)

Abstract Background Diabetic Retinopathy (DR) is the most common and serious microvascular complication in the diabetic population. Using computer-aided diagnosis from the fundus images has become a method of detecting retinal diseases, but...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-021-01424-x

Clinically feasible NODDI characterization of glioma using multiband EPI at 7 T

Qiuting Wen, Douglas A.C. Kelley, Suchandrima Banerjee, Janine M. Lupo et al. • NeuroImage: Clinical (2015)

Recent technological progress in the multiband echo planer imaging (MB EPI) technique enables accelerated MR diffusion weighted imaging (DWI) and allows whole brain, multi-b-value diffusion imaging to be acquired within a clinically feasibl...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2015.08.017

Alterations in white matter fiber density associated with structural MRI and metabolic PET lesions following multimodal therapy in glioma patients

Michel Friedrich, Ezequiel Farrher, Svenja Caspers, Svenja Caspers et al. • Frontiers in Oncology (2022)

BackgroundIn glioma patients, multimodality therapy and recurrent tumor can lead to structural brain tissue damage characterized by pathologic findings in MR and PET imaging. However, little is known about the impact of different types of d...

DOAJ Open Access (DOAJ) DOI: 10.3389/fonc.2022.998069

Medical Biotechnology

Dylan R. Pillai • Clinical Infectious Diseases (2014)

Both the diagnosis and treatment of human disease have undergone radical changes since the seminal discoveries of molecular biology, magnetic resonance imaging, mass spectrometry, and vaccine development, to name but a few. Glick and collea...

OPENALEX DOI: https://doi.org/10.1093/cid/ciu510

Introducing Public Administration

Jay M. Shafritz, E.W. Russell, Christopher P. Borick, Albert C. Hyde • Routledge eBooks (2016)

Now in an extensively revised 9th edition, Introducing Public Administration provides students with the conceptual foundation they need, while introducing them to important trends in the discipline. Known for its lively and witty writing st...

OPENALEX DOI: https://doi.org/10.4324/9781315619439