Using data citation to define a knowledge domain: A case study of the Add‐Health dataset
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24688
Abstract: To date, most studies in scientometric map and track the main topics in a knowledge domain by measuring publications in core journals or keyword searches in databases. The present study instead proposes a novel metrics… read more here.
Keywords: domain; add health; knowledge domain; dataset ... See more keywords
Plant phenological dataset collated by the Finnish Society of Sciences and Letters.
Sign Up to like & getrecommendations! Published in 2022 at "Ecology"
DOI: 10.1002/ecy.3962
Abstract: Long records of phenological observations constitute data for ecological, climate, and global change studies. Here we provide a unique dataset of plant phenological observations made in boreal Europe between 1750 and 1965 from locations situated… read more here.
Keywords: finnish society; collated finnish; plant phenological; society sciences ... See more keywords
Deep learning derived automated ASPECTS on non‐contrast CT scans of acute ischemic stroke patients
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.25845
Abstract: Ischemic stroke is the most common type of stroke, ranked as the second leading cause of death worldwide. The Alberta Stroke Program Early CT Score (ASPECTS) is considered as a systematic method of assessing ischemic… read more here.
Keywords: automated aspects; contrast scans; non contrast; dataset ... See more keywords
Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22827
Abstract: Dataset dependence affects many real‐life applications of machine learning: the performance of a model trained on a dataset is significantly worse on samples from another dataset than on new, unseen samples from the original one.… read more here.
Keywords: skin lesion; dermoscopic; dataset dependence; model ... See more keywords
Histopathological carcinoma classification using parallel, cross‐concatenated and grouped convolutions deep neural network
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22846
Abstract: Cancer is more alarming in modern days due to its identification at later stages. Among cancers, lung, liver and colon cancers are the leading cause of untimely death. Manual cancer identification from histopathological images is… read more here.
Keywords: concatenated grouped; classification; cross concatenated; parallel cross ... See more keywords
Thorax x‐ray and CT interventional dataset for nonrigid 2D/3D image registration evaluation
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.13174
Abstract: PURPOSE The aim of this paper is to provide a novel, publicly available standard image dataset with a useful evaluation framework for assessing nonrigid two-/three-dimensional (2D/3D) registration algorithms. ACQUISITION AND VALIDATION METHODS A pig lung… read more here.
Keywords: thorax ray; image; registration algorithms; dataset ... See more keywords
Comparison of robust to standardized CT radiomics models to predict overall survival for non-small cell lung cancer patients.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14224
Abstract: BACKGROUND Radiomics is a promising tool for the identification of new prognostic biomarkers. Radiomic features can be affected by different scanning protocols, often present in retrospective and prospective clinical data. We compared a CT based… read more here.
Keywords: feature; pre selection; dataset; multi centric ... See more keywords
Deep learning-based motion tracking using ultrasound images.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.15321
Abstract: PURPOSE Ultrasound (US) imaging is an established imaging modality capable of offering video-rate volumetric images without ionizing radiation. It has the potential for intra-fraction motion tracking in radiation therapy. In this study, a deep learning-based… read more here.
Keywords: motion; method; deep learning; dataset ... See more keywords
An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15982
Abstract: PURPOSE Task automation is essential for efficient and consistent image segmentation in radiation oncology. We report on a deep learning architecture, comprised of a U-Net and a variational autoencoder (VAE) for automatic contouring of the… read more here.
Keywords: source; net vae; dataset; vae ... See more keywords
Semi-supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16219
Abstract: PURPOSE Machine learning algorithms are best trained with large quantities of accurately annotated samples. While natural scene images can often be labeled relatively cheaply and at large scale, obtaining accurate annotations for medical images is… read more here.
Keywords: annotated data; training; weakly annotated; cooperative labeling ... See more keywords
3D-Printed Iodine-Ink CT Phantom for Radiomics Feature Extraction - Advantages and Challenges.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16373
Abstract: BACKGROUND To test and validate novel CT techniques, such as texture analysis in radiomics, repeat measurements are required. Current anthropomorphic phantoms lack fine texture and true anatomic representation. 3D-printing of iodinated ink on paper is… read more here.
Keywords: ink; iodine ink; radiomics features; dataset ... See more keywords