Results 61 to 70 of about 6,547,057 (287)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
U-Net-LSTM: Time Series-Enhanced Lake Boundary Prediction Model
Land, 2023 Change detection of natural lake boundaries is one of the important tasks in remote sensing image interpretation. In an ordinary fully connected network, or CNN, the signal of neurons in each layer can only be propagated to the upper layer, and the ...
Lirong Yin +7 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Chemotherapy‐induced peripheral neuropathy remains a major complication in pediatric cancer, with disrupted somatosensory and nociceptive processing being a key aspect. This review synthesizes empirical studies on alterations in somatosensory and nociceptive processing in children and adolescents with cancer.
Julia Schweiger +4 more
wiley +1 more source
An attention-based U-Net for detecting deforestation within satellite sensor imagery
International Journal of Applied Earth Observations and Geoinformation, 2022 In this paper, we implement and analyse an Attention U-Net deep network for semantic segmentation using Sentinel-2 satellite sensor imagery, for the purpose of detecting deforestation within two forest biomes in South America, the Amazon Rainforest and ...
David John, Ce Zhang
doaj +1 more source
Recurrent residual U-Net for medical image segmentation
Journal of Medical Imaging, 2019 . Deep learning (DL)-based semantic segmentation methods have been providing state-of-the-art performance in the past few years. More specifically, these techniques have been successfully applied in medical image classification, segmentation, and ...
Md. Zahangir Alom +4 more
semanticscholar +1 more source
U-Net-STN: A Novel End-to-End Lake Boundary Prediction Model
Land, 2023 Detecting changes in land cover is a critical task in remote sensing image interpretation, with particular significance placed on accurately determining the boundaries of lakes.
Lirong Yin +7 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)This study presents a comprehensive comparison of U-Net and Ghost U-Net for road crack segmentation, emphasizing their performance and memory efficiency across various data representation formats, including FP32, FP16, and INT8 quantization. A dataset of
Haidhi Angkawijana Tedja, Onno W. Purbo
doaj +1 more source
Journal of Radiation Research and Applied Sciences, 2023 Objective: This paper aims to improve U-Net for more accurate segmentation of irregular intracranial hemorrhage lesions in CT images. Methods: The residual octave convolution (ResOctConv) module was introduced to overcome the semantic gap issue in U-Net,
Yulong Yuan +3 more
doaj +1 more source
A Variational U-Net for Conditional Appearance and Shape Generation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Deep generative models have demonstrated great performance in image synthesis. However, results deteriorate in case of spatial deformations, since they generate images of objects directly, rather than modeling the intricate interplay of their inherent ...
Patrick Esser, E. Sutter, B. Ommer
semanticscholar +1 more source