Results 61 to 70 of about 345,447 (283)
Rapid Response to Trametinib Combined With Chemotherapy for Infant BRAF‐Fused Chiasmatic Glioma
Pediatric Blood &Cancer, EarlyView.ABSTRACT Infants, less than 1 year, with chiasmatic gliomas (ICG) present a major therapeutic challenge due to large tumor size, decreased vision, rapid progression, and poor response to vincristine/carboplatin chemotherapy. The majority have a BRAF fusion, which may respond to downstream MEK inhibitors but response time is slow. There are no safety or
Helen Toledano +7 more
wiley +1 more source
CenterInst: Center-Based Real-Time Instance Segmentation
Applied SciencesInstance segmentation is a computer vision task that aims to give each pixel in an image an instance-specific label. Recently, researchers have shown growing interest in real-time instance segmentation. In this paper, we propose a novel center-based real-
Shu Tian, Liang Ren
doaj +1 more source
Study on Unsupervised Instance Segmentation Models for Person Re-Identification [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesUnsupervised instance segmentation for person re-identification is mainly used in challenging cases such as occluded person re-identification and 3D re-identification. Furthermore, unsupervised instance segmentation can be considered as an auxiliary cue,
M. N. Favorskaya, M. V. Savkov
doaj +1 more source
Deep GrabCut for Object Selection
, 2017 Most previous bounding-box-based segmentation methods assume the bounding box tightly covers the object of interest. However it is common that a rectangle input could be too large or too small. In this paper, we propose a novel segmentation approach that
Cohen, Scott +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source
S4Net: Single stage salient-instance segmentation
Computational Visual Media, 2020 In this paper, we consider salient instance segmentation. As well as producing bounding boxes, our network also outputs high-quality instance-level segments as initial selections to indicate the regions of interest.
Ruochen Fan +5 more
doaj +1 more source
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
, 2018 In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instance-aware semantic segmentation perspective.
Chen, Kai +6 more
core +1 more source
MYCN Amplification in RB1‐Inactivated Retinoblastoma: Association With High‐Risk Features
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background MYCN amplification occurs in a subset of retinoblastoma cases, both with and without RB1 inactivation. It has been suggested that retinoblastomas with MYCN amplification represent a distinct entity with more aggressive clinical behavior.
Kyriaki Papaioannou +9 more
wiley +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 +2 more
core +1 more source
TernausNetV2: Fully Convolutional Network for Instance Segmentation
, 2018 The most common approaches to instance segmentation are complex and use two-stage networks with object proposals, conditional random-fields, template matching or recurrent neural networks.
Buslaev, Alexander V. +3 more
core +1 more source