Results 31 to 40 of about 736,814 (346)
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation [PDF]
This work considers supervised contrastive learning for semantic segmentation. We apply contrastive learning to enhance the discriminative power of the multi-scale features extracted by semantic segmentation networks. Our key methodological insight is to
Theodoros Pissas+3 more
semanticscholar +1 more source
A rapid detection method for UAV-borne high-resolution SAR image targets [PDF]
Aiming at the limited space and resources of the UAV platform, the inaccurate target labeling and excessive calculation amount of high-resolution SAR image detection, a rapid detection method for UAV-borne high-resolution SAR image targets is proposed ...
WANG Zhongbao, YIN Kuiying
doaj +1 more source
Iris segmentation is a critical step in the iris recognition system. Since the quality of iris database taken under different camera sensors varies greatly, thus most existing iris segmentation methods are designed for a particular collection device ...
Guang Huo, Dawei Lin, Meng Yuan
doaj +1 more source
The Active Segmentation Platform for Microscopic Image Classification and Segmentation
Image segmentation still represents an active area of research since no universal solution can be identified. Traditional image segmentation algorithms are problem-specific and limited in scope.
Sumit K. Vohra, Dimiter Prodanov
doaj +1 more source
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation
Referring image segmentation aims to segment an object out of an image via a specific language expression. The main concept is establishing global visual-linguistic relationships to locate the object and identify boundaries using details of the image ...
Shuyi Ouyang+6 more
semanticscholar +1 more source
Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein+7 more
wiley +1 more source
Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie+6 more
wiley +1 more source
HT-Net: A Hybrid Transformer Network for Fundus Vessel Segmentation
Doctors usually diagnose a disease by evaluating the pattern of abnormal blood vessels in the fundus. At present, the segmentation of fundus blood vessels based on deep learning has achieved great success, but it still faces the problems of low accuracy ...
Xiaolong Hu, Liejun Wang, Yongming Li
doaj +1 more source
MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation [PDF]
The recent breakthroughs of Neural Architecture Search (NAS) have motivated various applications in medical image segmentation. However, most existing work either simply rely on hyper-parameter tuning or stick to a fixed network backbone, thereby ...
Xingang Yan+3 more
semanticscholar +1 more source
Due to the space inconsistency between benchmark image and segmentation result in many existing semantic segmentation algorithms for abdominal CT images, an improved model based on the basic framework of DeepLab-v3 is proposed, and Pix2pix network is ...
Kaijian Xia+4 more
doaj +1 more source