Results 1 to 10 of about 96,159 (117)

HiMamba-Net: a Hilbert-serialized Mamba network for 3D point cloud instance segmentation [PDF]

Scientific Reports
Instance-level segmentation of large-scale 3D point clouds is a fundamental yet challenging task due to complex spatial structures, severe occlusions, and long-range dependencies.
Kai Zhao, Dai Shi, Yi Guo, Suzy Rogiers, Oula Ghannoum   +4 more
doaj   +2 more sources

LTM-UNet: Linear Transformer–Mamba with Attention-Based U-Net for Context-Aware Breast Ultrasound Image Segmentation [PDF]

Diagnostics
Background/Objectives: Accurate breast lesion segmentation using deep learning models requires precise understanding of both global contextual relevance and finer lesion structure details, which remains a challenge for existing convolutional and ...
Shivpratap Singh Kushwah, Santosh Prakash Chouhan, Narinder Singh Punn, Mahua Bhattacharya   +3 more
doaj   +2 more sources

Object-Based Change Detection in Urban Areas: The Effects of Segmentation Strategy, Scale, and Feature Space on Unsupervised Methods

Remote Sensing, 2016
Object-based change detection (OBCD) has recently been receiving increasing attention as a result of rapid improvements in the resolution of remote sensing data.
Lei Ma, Manchun Li, Thomas Blaschke, Xiaoxue Ma, Dirk Tiede, Liang Cheng, Zhenjie Chen, Dong Chen   +7 more
doaj   +3 more sources

Image Semantic Segmentation Based on Multi-level Superposition and Attention Mechanism [PDF]

Jisuanji gongcheng, 2023
To address the common problems such as small-scale targets being easily lost and boundary segmentation being discontinuous owing to the complexity of target space, a semantic image segmentation model based on multi-level superposition and attention ...
Xiaodong SU, Shizhou LI, Jiayuan ZHAO, Hongyu LIANG, Yurong ZHANG, Hongyan XU
doaj   +1 more source

Latent space unsupervised semantic segmentation

Frontiers in Physiology, 2023
The development of compact and energy-efficient wearable sensors has led to an increase in the availability of biosignals. To effectively and efficiently analyze continuously recorded and multidimensional time series at scale, the ability to perform ...
Knut J. Strommen, Jim Tørresen, Jim Tørresen, Ulysse Côté-Allard, Ulysse Côté-Allard   +4 more
doaj   +1 more source

Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation

Sensors, 2022
In recent years, image segmentation techniques based on deep learning have achieved many applications in remote sensing, medical, and autonomous driving fields.
Yuan Liu, Ming Zhu, Jing Wang, Xiangji Guo, Yifan Yang, Jiarong Wang   +5 more
doaj   +1 more source

Multi‐source heterogeneous iris segmentation method based on lightweight convolutional neural network

IET Image Processing, 2023
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

A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses.
A. Hadavand, M. Saadatseresht, S. Homayouni   +2 more
doaj   +1 more source

The Active Segmentation Platform for Microscopic Image Classification and Segmentation

Brain Sciences, 2021
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

Liver Semantic Segmentation Algorithm Based on Improved Deep Adversarial Networks in Combination of Weighted Loss Function on Abdominal CT Images

IEEE Access, 2019
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, Hongsheng Yin, Pengjiang Qian, Yizhang Jiang, Shuihua Wang   +4 more
doaj   +1 more source