Results 51 to 60 of about 968,733 (291)

3D Point Cloud Instance Segmentation Considering Global Shape Contour Constraints

Remote Sensing, 2023
Aiming to solve the problem that spatially distributed similar instances cannot be distinguished in 3D point cloud instance segmentation, a 3D point cloud instance segmentation network, considering the global shape contour, was proposed.
Jiabin Xv, Fei Deng
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Semantic Attention and Structured Model for Weakly Supervised Instance Segmentation in Optical and SAR Remote Sensing Imagery

Remote Sensing, 2023
Instance segmentation in remote sensing (RS) imagery aims to predict the locations of instances and represent them with pixel-level masks. Thanks to the more accurate pixel-level information for each instance, instance segmentation has enormous potential
Man Chen, Kun Xu, Enping Chen, Yao Zhang, Yifei Xie, Yahao Hu, Zhisong Pan   +6 more
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

A survey on instance segmentation: state of the art [PDF]

International Journal of Multimedia Information Retrieval, 2020
Int J Multimed Info Retr (2020)
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
openaire   +3 more sources

Instance segmentation using 2.5D data

, 2023
Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation.
Öhrling, Jonathan
core   +3 more sources

DIM: long-tailed object detection and instance segmentation via dynamic instance memory

Machine Learning: Science and Technology, 2023
Object detection and instance segmentation have been successful on benchmarks with relatively balanced category distribution (e.g. MSCOCO). However, state-of-the-art object detection and segmentation methods still struggle to generalize on long-tailed ...
Zhao-Min Chen, Xin Jin, Xiaoqin Zhang, Chaoqun Xia, Zhiyong Pan, Ruoxi Deng, Jie Hu, Heng Chen   +7 more
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

Evaluation study on SAM 2 for class-agnostic instance-level segmentation

CAAI Artificial Intelligence Research
Segment anything model (SAM) has demonstrated powerful zero-shot segmentation performance in natural scenes. The recently released segment anything model 2 (SAM2) has further heightened researchers’ expectations towards image segmentation capabilities ...
Jialun Pei, Zhangjun Zhou, Tiantian Zhang   +2 more
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 Sciences
Unsupervised 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