Results 51 to 60 of about 16,062,156 (297)

-Net: A Multi-scale Multi-level Feature Enhanced Network for Object Detection in Optical Remote Sensing Images

, 2020
Object detection in remote sensing images is a challenging task due to diversified orientation, complex background, dense distribution and scale variation of objects.
Haifeng Zhao, Jun Zhou, Xiong, F, Xinhai Ye, Zhou, J, Jianfeng Lu, Lu, J, Zhao, H, Ye, X, Fengchao Xiong   +9 more
core   +1 more source

Chemotherapy for Spinal Cord Intramedullary Pediatric Low‐Grade Glioma—A Systematic Literature Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko, Segev Gabay, Jonathan Roth, Amit Ringel, Rina Dvir, Shlomi Constantini   +5 more
wiley   +1 more source

SBD-Net: Incorporating Multi-Level Features for an Efficient Detection Network of Student Behavior in Smart Classrooms

Applied Sciences
Detecting student behavior in smart classrooms is a critical area of research in educational technology that significantly enhances teaching quality and student engagement.
Zhifeng Wang, Minghui Wang, Chunyan Zeng, Longlong Li   +3 more
doaj   +1 more source

Neurocognitive, School‐Based, and Quality of Life Outcomes for Youth With Sickle Cell Disease and Thalassemia: A Scoping Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling, Hakim Tokhi, Alexander A. Boucher   +2 more
wiley   +1 more source

End-to-End Correlation Tracking With Enhanced Multi-Level Feature Fusion

IEEE Access, 2021
Discriminative correlation filters (DCF) have drawn increasing interest in visual tracking. In particular, a few recent works treat DCF as a special layer and add it into a Siamese network for visual tracking. However, most of them adopt shallow networks
Guangen Liu, Guizhong Liu
doaj   +1 more source

Learning Multi-Level Features with Matryoshka Sparse Autoencoders

CoRR
Sparse autoencoders (SAEs) have emerged as a powerful tool for interpreting neural networks by extracting the concepts represented in their activations. However, choosing the size of the SAE dictionary (i.e. number of learned concepts) creates a tension: as dictionary size increases to capture more relevant concepts, sparsity incentivizes features to ...
Bart Bussmann, Noa Nabeshima, Adam Karvonen, Neel Nanda   +3 more
openaire   +4 more sources

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source

The super-resolution reconstruction algorithm of multi-scale dilated convolution residual network

Frontiers in Neurorobotics
Aiming at the problems of traditional image super-resolution reconstruction algorithms in the image reconstruction process, such as small receptive field, insufficient multi-scale feature extraction, and easy loss of image feature information, a super ...
Shanqin Wang, Miao Zhang, Mengjun Miao, Mengjun Miao   +3 more
doaj   +1 more source

An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

BMC Cancer, 2018
Background Melanoma is the deadliest type of skin cancer with highest mortality rate. However, the annihilation in its early stage implies a high survival rate therefore, it demands early diagnosis.
M. Attique Khan, Tallha Akram, Muhammad Sharif, Aamir Shahzad, Khursheed Aurangzeb, Musaed Alhussein, Syed Irtaza Haider, Abdualziz Altamrah   +7 more
doaj   +1 more source

Salient Object Detection Using Recurrent Guidance Network With Hierarchical Attention Features

IEEE Access, 2020
Fully convolutional networks (FCNs) play an significant role in salient object detection tasks, due to the capability of extracting abundant multi-level and multi-scale features.
Shanmei Lu, Qiang Guo, Yongxia Zhang
doaj   +1 more source