Results 61 to 70 of about 832,071 (273)

Focus-and-Detect: A small object detection framework for aerial images

Signal Processing: Image Communication, 2022
Despite recent advances, object detection in aerial images is still a challenging task. Specific problems in aerial images makes the detection problem harder, such as small objects, densely packed objects, objects in different sizes and with different orientations.
Onur Can Koyun, Reyhan Kevser Keser, İbrahim Batuhan Akkaya, Behçet Uğur Töreyin   +3 more
openaire   +3 more sources

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source

CSSDet: small object detection via cross-scale feature enhancement on drone-view images

International Journal of Digital Earth
Object detection on drone-view images is vital for applications like intelligent transportation, abnormal behavior detection, and urban surveillance. However, the diverse perspectives and altitudes from which Unmanned Aerial Vehicle (UAV) capture scenes ...
Gui Cheng, Qing Ding, Bowen Cai, Chaoya Dang, Yu Wang, Xiaolong Zuo, Zhenfeng Shao   +6 more
doaj   +1 more source

Lightweight Small Object Detection Algorithm for Aerial Photography Based on Improved YOLOv8n: PECS-YOLO [PDF]

Jisuanji gongcheng
In Unmanned Aerial Vehicle (UAV) aerial photography, targets are usually small targets with dense distribution and unobvious features, and the object scale varies greatly. Therefore, the problems of missing detection and false detection are easy to occur
WANG Shumeng, XU Huiying, ZHU Xinzhong, HUANG Xiao, SONG Jie, LI Yi
doaj   +1 more source

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim, Natalie Bradford, David Brain, Sameera Senanayake, Sanjeewa Kularatna, Kate Young, Christine Cashion, Tim Hassall, Susanna Cramb   +8 more
wiley   +1 more source

YOLO-v4 Small Object Detection Algorithm Fused With L-α

Journal of Harbin University of Science and Technology, 2023
The detection ability for small object is still need to be improved urgently in spite of the rapidly developing object detection technology based on deep learning at present.Compared with large objects, small object detection tasks hold drawbacks of ...
ZHANG Ning, YU Ming, REN Honge, AO Rui, ZHAO Long   +4 more
doaj   +1 more source

The Fate (Outcome) of Clinically Apparent Single Lesion and Oligofocal Nephroblastomatosis Treated According to SIOP/GPOH Protocols for Wilms Tumor

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter, Jens‐Peter Schenk, Jenny Wegert, Manfred Gessler, Leo Kager, Stefan Wagenpfeil, Marina Müller, Jean‐Michel Wolff, Joerg Fuchs, Steven W. Warmann, Clemens‐Magnus Meier, Jochen Hubertus, Christian Rübe, Christian Vokuhl, Patrick Melchior, Lena Tschirner, Norbert Graf, Rhoikos Furtwängler   +17 more
wiley   +1 more source

A Comprehensive Review of Small Object Detection of Low-Altitude Aerial Imagery Based on Deep Learning [PDF]

Hangkong bingqi
Small object detection of low-altitude aerial imagery remains a highly challenging task in computer vision. Although significant progress has been made in object detection algorithms for conventional perspectives, the transfer performance of these ...
Zhang Jinhang, Gao Min, Fang Dan, Li Chaowang, Wang Yi, Xu KuiKui
doaj   +1 more source

Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution

, 2016
Given a set of images containing objects from the same category, the task of image co-localization is to identify and localize each instance. This paper shows that this problem can be solved by a simple but intriguing idea, that is, a common object ...
A Joulin, C Galleguillos, C Rother, CL Zitnick, D Hoiem, JH Hosang, JRR Uijlings, K He, M Everingham, O Russakovsky, PF Felzenszwalb, R Girshick, T Deselaers, W Ren, Y Boykov   +14 more
core   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source