Results 71 to 80 of about 342,749 (263)

Semi-Supervised Instance-Segmentation Model for Feature Transfer Based on Category Attention

Sensors, 2022
In the task of image instance segmentation, semi-supervised instance segmentation algorithms have received constant research attention over recent years.
Hao Wang, Juncai Liu, Changhai Huang, Xuewen Yang, Dasha Hu, Liangyin Chen, Xiaoqing Xing, Yuming Jiang   +7 more
doaj   +1 more source

PanDA: Panoptic Data Augmentation [PDF]

, 2019
The recently proposed panoptic segmentation task presents a significant challenge of image understanding with computer vision by unifying semantic segmentation and instance segmentation tasks. In this paper we present an efficient and novel panoptic data
Liu, Yang, Meister, Markus, Perona, Pietro   +2 more
core   +1 more source

Instance-Level Salient Object Segmentation

, 2017
Image saliency detection has recently witnessed rapid progress due to deep convolutional neural networks. However, none of the existing methods is able to identify object instances in the detected salient regions.
Li, Guanbin, Lin, Liang, Xie, Yuan, Yu, Yizhou   +3 more
core   +1 more source

Developmental Disorders in Children Recently Diagnosed With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag, Long Vu, Ritika Miryala, Jeffrey M. Albert, Molly McVoy, Siran M. Koroukian   +5 more
wiley   +1 more source

Characterizing Parental Concerns About Lasting Impacts of Treatment in Children With B‐Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker, Sarah W. Alexander, Lisa M. Jacola, Kimberly A. Buff, Kyobin Hwang, Elham Hashemi, Gregory Stoddard, Lindsay A. Jibb   +7 more
wiley   +1 more source

Investigating the Impact of the Bit Depth of Fluorescence-Stained Images on the Performance of Deep Learning-Based Nuclei Instance Segmentation

Diagnostics, 2021
Nuclei instance segmentation can be considered as a key point in the computer-mediated analysis of histological fluorescence-stained (FS) images. Many computer-assisted approaches have been proposed for this task, and among them, supervised deep learning
Amirreza Mahbod, Gerald Schaefer, Christine Löw, Georg Dorffner, Rupert Ecker, Isabella Ellinger   +5 more
doaj   +1 more source

BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks

, 2017
We present a simple and effective framework for simultaneous semantic segmentation and instance segmentation with Fully Convolutional Networks (FCNs). The method, called BiSeg, predicts instance segmentation as a posterior in Bayesian inference, where ...
Ito, Satoshi, Kozakaya, Tatsuo, Pham, Viet-Quoc   +2 more
core   +1 more source

DELP Treatment on Vision and Retinal Microcirculation in Patients With Acute Ischemic Stroke: Report of Five Cases and Literature Review

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li, Ronghua Hong, Hua You, Feiping Xu, Qingjun Zhang, Yiwen Lin, Yuting Su, Danmei Lan, Lingjing Jin, Junhui She   +9 more
wiley   +1 more source

Panoptic Segmentation

, 2019
We propose and study a task we name panoptic segmentation (PS). Panoptic segmentation unifies the typically distinct tasks of semantic segmentation (assign a class label to each pixel) and instance segmentation (detect and segment each object instance ...
Dollár, Piotr, Girshick, Ross, He, Kaiming, Kirillov, Alexander, Rother, Carsten   +4 more
core   +1 more source

Sparse Instance Activation for Real-Time Instance Segmentation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Accepted by ...
Cheng, Tianheng, Wang, Xinggang, Chen, Shaoyu, Zhang, Wenqiang, Zhang, Qian, Huang, Chang, Zhang, Zhaoxiang, Liu, Wenyu   +7 more
openaire   +2 more sources