Results 21 to 30 of about 6,675,235 (374)

SAMMed: A medical image annotation framework based on large vision model [PDF]

open access: yesarXiv.org, 2023
Recently, large vision model, Segment Anything Model (SAM), has revolutionized the computer vision field, especially for image segmentation. SAM presented a new promptable segmentation paradigm that exhibit its remarkable zero-shot generalization ability.
Chenglong Wang   +6 more
semanticscholar   +1 more source

Image Annotation Software for Artificial Intelligence Applications

open access: yesHigh Yield Medical Reviews, 2023
Introduction: The growing trend in artificial intelligence has recently highlighted the demand for user-friendly and effective annotation tools for researchers.
Ayman Musleh   +2 more
doaj   +1 more source

Enhancing Image Annotation Technique of Fruit Classification Using a Deep Learning Approach

open access: yesSustainability, 2023
An accurate image retrieval technique is required due to the rapidly increasing number of images. It is important to implement image annotation techniques that are fast, simple, and, most importantly, automatically annotate. Image annotation has recently
N. Mamat   +4 more
semanticscholar   +1 more source

Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review

open access: yesAgriculture, 2022
The implementation of intelligent technology in agriculture is seriously investigated as a way to increase agriculture production while reducing the amount of human labor.
N. Mamat   +5 more
semanticscholar   +1 more source

BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
In this paper, we propose a novel semi-supervised learning (SSL) framework named BoostMIS that combines adaptive pseudo labeling and informative active annotation to unleash the potential of medical image SSL models: (1) BoostMIS can adaptively leverage ...
Wenqiao Zhang   +6 more
semanticscholar   +1 more source

Semantic Annotation of Image Resources in Digital Humanities [PDF]

open access: yesNongye tushu qingbao xuebao, 2020
[Purpose/Significance] A large number of image resources in digital humanities have not been in effective use for a long time, and the phenomenon of "isolated image islands" is intensifying. The International Image Interoperability Framework (IIIF) opens
CHEN Tao, SHAN Rongrong, LI Hui
doaj   +1 more source

Current Trends and Future Directions of Large Scale Image and Video Annotation: Observations From Four Years of BIIGLE 2.0

open access: yesFrontiers in Marine Science, 2021
Marine imaging has evolved from small, narrowly focussed applications to large-scale applications covering areas of several hundred square kilometers or time series covering observation periods of several months.
Martin Zurowietz, Tim W. Nattkemper
doaj   +1 more source

Multilabel Remote Sensing Image Annotation With Multiscale Attention and Label Correlation

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Deep-learning-based multilabel image annotation is receiving increasing attention in the field of remote sensing due to the great success of deep networks in single-label remote sensing image classification.
Rui Huang, Fengcai Zheng, Wei Huang
semanticscholar   +1 more source

ePAD: An Image Annotation and Analysis Platform for Quantitative Imaging. [PDF]

open access: yesTomography, 2019
Medical imaging is critical for assessing the response of patients to new cancer therapies. Quantitative lesion assessment on images is time-consuming, and adopting new promising quantitative imaging biomarkers of response in clinical trials is ...
Rubin DL   +3 more
europepmc   +2 more sources

An approach for image annotation automatization for artificial intelligence models learning

open access: yesAdaptivni Sistemi Avtomatičnogo Upravlinnâ, 2020
The article provides an analysis of image annotation process for artificial intelligence models within modern detection systems learning using modern tools for annotation.
A. Yakovlev, O. Lisovychenko
doaj   +1 more source

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