Results 21 to 30 of about 12,400,861 (233)

Automatic Image Annotation Based on Multi-Auxiliary Information

IEEE Access, 2017
This paper introduces an automatic image annotation framework based on multi-auxiliary information which aims at improving the annotation performance. We propose three novel ideas in the framework of annotation: 1) multi-information extraction: besides ...
Pengyu Zhang, Zhihua Wei, Yunyi Li, Cairong Zhao   +3 more
doaj   +1 more source

Label Correlation Guided Deep Multi-View Image Annotation

IEEE Access, 2019
Automatic image annotation is an important technique which has been widely applied in many fields such as social network image analysis and retrieval, face recognition and so on.
Zhe Xue, Junping Du, Min Zuo, Guorong Li, Qingming Huang   +4 more
doaj   +1 more source

Annotation-efficient deep learning for automatic medical image segmentation

Nature Communications, 2021
Existing high-performance deep learning methods typically rely on large training datasets with high-quality manual annotations, which are difficult to obtain in many clinical applications.
Shanshan Wang, Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Jie Chen, Huihui Zhou, Ismail Ben Ayed, Hairong Zheng   +14 more
doaj   +1 more source

Automatic Image Annotation Method Based on Color Histogram Pyramid [PDF]

Jisuanji gongcheng, 2016
This paper presents a color histogram feature annotation method based on Pyramid Match Kernel(PKM) for automatic image annotation.This technique works by partitioning the image into increasingly fine grids and computing color histogram within each grid ...
WANG Jianwen,LIN Jie
doaj   +1 more source

Automatic annotation and performance evaluation of orchard pear fruit using SAM-based zero-shot segmentation

Smart Agricultural Technology
High-quality annotated data are essential for training high-performance models; therefore, the automatic annotation of instance segmentation training datasets helps improve model development efficiency and reduce development costs.
Xiaole Wang, Xuan lv, Xin Xing, Xingchen Qiao, Yu Yang, Kuangyan Zhang, Yujie Liu, Yuang Yang, Yichen Yang, Bowen Luo, Tianze Ji, Xinran Li, Weiyue Xu, Junxian Sun, Yan Zou, Yangyang Liu, Yang Yang, Zhenchao Wu, Liqing Chen   +18 more
doaj   +1 more source

ASALTAG : Automatic Image Annotation Through Salient Object Detection and Improved k-Nearest Neighbor Feature Matching

Journal of Electrical, Electronics and Informatics, 2018
Image databases are becoming very large nowadays, and there is an increasing need for automatic image annotation, for assiting on finding the desired specific image.
Theresia Hendrawati, Duman Care Khrisne
doaj   +1 more source

Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. [PDF]

PLoS ONE, 2018
The number of images taken per patient scan has rapidly increased due to advances in software, hardware and digital imaging in the medical domain.
Obioma Pelka, Felix Nensa, Christoph M Friedrich   +2 more
doaj   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source

Automatic human face detection for content-based image annotation [PDF]

, 2008
In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour ...
Richard M. Jiang, Abdul H. Sadka, Jiang, M, Sadka, A H, Jiang, R.M., Zhou, H, Jiang, Richard M., Sadka, Abdul H., Huiyu Zhou, Zhou, Huiyu, Sadka, A.   +10 more
core   +5 more sources

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi, Rie Tanaka, Reona Kawahira, Shingo Nabeta, Kouhei Naoi, Kazuhito Kitajima, Akira Wada, Tomonari Takagi, Norihiko Ohura, Akira Miyamoto   +9 more
wiley   +1 more source