Results 51 to 60 of about 94,707 (276)

Optimisation for image salient object detection based on semantic‐aware clustering and CRF

IET Computer Vision, 2020
State‐of‐the‐art optimisation methods for salient object detection neglect that saliency maps of different images usually show different imperfections. Therefore, the saliency maps of some images cannot achieve effective optimisation.
Junhao Chen, Yuzhe Niu, Jianbin Wu, Junrong Chen   +3 more
doaj   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

Salient Object Detection: Integrate Salient Features in the Deep Learning Framework

IEEE Access, 2019
Salient object detection in complex environments brings the challenge from the collections of large number of training images for deep learning algorithm.
Qixin Chen, Tie Liu, Yuanyuan Shang, Zhuhong Shao, Hui Ding   +4 more
doaj   +1 more source

Salient Object Detection Algorithm Under Guidance of Semantic Information [PDF]

Jisuanji gongcheng, 2019
In view of the poor performance of the existing saliency detection method in object highlighting and background noise suppression,a salient object detection algorithm is proposed.An improved Fully Convolutional Neural Network(FCNN) is constructed to ...
XIAO Feng,LI Runa
doaj   +1 more source

RGB-D Salient Object Detection Using Saliency and Edge Reverse Attention

IEEE Access, 2023
RGB-D salient object detection is a task to detect visually significant objects in an image using RGB and depth images. Although many useful CNN-based methods have been proposed in the past, there are some problems such as blurring of object boundaries ...
Tomoki Ikeda, Masaaki Ikehara
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Integrated Deep and Shallow Networks for Salient Object Detection

, 2017
Deep convolutional neural network (CNN) based salient object detection methods have achieved state-of-the-art performance and outperform those unsupervised methods with a wide margin.
Dai, Yuchao, He, Mingyi, Li, Bo, Porikli, Fatih, Zhang, Jing   +4 more
core   +1 more source

Objectness to assist salient object detection

IET Image Processing, 2016
When dealing with salient object that contains several regions with different appearances, salient object detection can be a difficult task as often only parts of the salient object are highlighted and consistency between the salient regions is poor.
Xiaoliang Sun, Ang Su, Shengyi Chen, Qifeng Yu, Xiaolin Liu   +4 more
openaire   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Salient object detection: a mini review

Frontiers in Signal Processing
This paper presents a mini-review of recent works in Salient Object Detection (SOD). First, We introduce SOD and its application in image processing tasks and applications.
Xiuwenxin Wang, Siyue Yu, Eng Gee Lim, M. L. Dennis Wong, M. L. Dennis Wong   +4 more
doaj   +1 more source