Results 41 to 50 of about 703,662 (260)

Analysis on Target Detection and Classification in LTE Based Passive Forward Scattering Radar

Sensors, 2016
The passive bistatic radar (PBR) system can utilize the illuminator of opportunity to enhance radar capability. By utilizing the forward scattering technique and procedure into the specific mode of PBR can provide an improvement in target detection and ...
Raja Syamsul Azmir Raja Abdullah, Noor Hafizah Abdul Aziz, Nur Emileen Abdul Rashid, Asem Ahmad Salah, Fazirulhisyam Hashim   +4 more
doaj   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

SAR Target Classification Based on Integration of ASC Parts Model and Deep Learning Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Automatic target recognition of synthetic aperture radar (SAR) images has been a vital issue in recent studies. The recognition methods can be divided into two main types: traditional machine learning methods and deep-learning-based methods.
Sijia Feng, Kefeng Ji, Linbin Zhang, Xiaojie Ma, Gangyao Kuang   +4 more
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

A CNN‑Based Method for Sparse SAR Target Classification with Grad‑CAM Interpretation

Transactions of Nanjing University of Aeronautics and Astronautics
In recent years， deeps learning has been widely applied in synthetic aperture radar （SAR） image processing. However， the collection of large-scale labeled SAR images is challenging and costly， and the classification accuracy is often poor when only ...
JI Zhongyuan, ZHANG Jingjing, LIU Zehao, LI Guoxu   +3 more
doaj   +1 more source

Efficacy and Tolerability of Topotecan/Cyclophosphamide/Dinutuximab in Relapsed and Refractory High‐Risk Neuroblastoma: A Multi‐Institutional Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman, Madeleine King, Rajen Mody, Sara‐Jane Onyeama, Araz Marachelian, Thomas Cash, Sara M. Federico, Meaghan Granger, Ami V. Desai, Suzanne Shusterman, Jennifer H. Foster, Elizabeth Sokol, Chelsee Greer, Keri Streby, Holly J. Meany, Kieuhoa T. Vo, Margaret E. Macy, Rochelle Bagatell   +17 more
wiley   +1 more source

Multi-band Multi-angle FMCW Radar Low-Slow-Small Target Detection Dataset (LSS-FMCWR-2.0) and Feature Fusion Classification Methods

Leida xuebao
This study addresses the issue of fine-grained feature extraction and classification for Low-Slow-Small (LSS) targets, such as birds and drones, by proposing a multi-band multi-angle feature fusion classification method.
Xiaolong CHEN, Wang YUAN, Xiaolin DU, Jinhao WANG, Ningyuan SU, Jian GUAN   +5 more
doaj   +1 more source

SAR Target Classification Based on Deep Forest Model

Remote Sensing, 2020
Synthetic aperture radar (SAR) has become one of the most important means of information acquisition in today’s society and shows great potential in many fields. Target identification and classification of SAR images are also the focus of research.
Jiahuan Zhang, Hongjun Song, Binbin Zhou
doaj   +1 more source

Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy, Elizabeth L. Seashore, W. Susan Cheng, Shondra Clay, Jessica A. Casas, Jennifer H. Foster   +5 more
wiley   +1 more source

CLISAR-Net: A Deformation-Robust ISAR Image Classification Network Using Contrastive Learning

Remote Sensing, 2022
The inherent unknown deformations of inverse synthetic aperture radar (ISAR) images, such as translation, scaling, and rotation, pose great challenges to space target classification. To achieve high-precision classification for ISAR images, a deformation-
Peishuang Ni, Yanyang Liu, Hao Pei, Haoze Du, Haolin Li, Gang Xu   +5 more
doaj   +1 more source