Results 91 to 100 of about 758,831 (346)

Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion

Remote Sensing
Rapid advancements in remote sensing (RS) imaging technology have heightened the demand for the precise and efficient interpretation of large-scale, high-resolution RS images. Although segmentation algorithms based on convolutional neural networks (CNNs)
Yice Cao, Chenchen Liu, Zhenhua Wu, Lei Zhang, Lixia Yang   +4 more
doaj   +1 more source

SLIC segmentation method for full-polarised remote-sensing image

The Journal of Engineering, 2019
The rapid development of remote-sensing data acquisition technology means that the resolution of remote-sensing image has been continuously improved, resulting in the large scale of remote-sensing image data and the increase of redundant information ...
Zhanyang Zhang, Jiaqi Chen, Zhiwei Liu
doaj   +1 more source

DeepBrainSeg: Automated Brain Region Segmentation for Micro-Optical Images With a Convolutional Neural Network

Frontiers in Neuroscience, 2020
The segmentation of brain region contours in three dimensions is critical for the analysis of different brain structures, and advanced approaches are emerging continuously within the field of neurosciences.
Chaozhen Tan, Chaozhen Tan, Yue Guan, Yue Guan, Zhao Feng, Zhao Feng, Hong Ni, Hong Ni, Zoutao Zhang, Zoutao Zhang, Zhiguang Wang, Zhiguang Wang, Xiangning Li, Xiangning Li, Xiangning Li, Jing Yuan, Jing Yuan, Jing Yuan, Hui Gong, Hui Gong, Hui Gong, Qingming Luo, Qingming Luo, Anan Li, Anan Li, Anan Li   +25 more
doaj   +1 more source

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation [PDF]

arXiv, 2023
The Segment Anything Model (SAM) exhibits a capability to segment a wide array of objects in natural images, serving as a versatile perceptual tool for various downstream image segmentation tasks. In contrast, medical image segmentation tasks often rely on domain-specific knowledge (DSK).
arxiv  

The impact of frailty syndrome on skeletal muscle histology: preventive effects of exercise

FEBS Open Bio, EarlyView.
Frailty syndrome exacerbates skeletal muscle degeneration via increased ECM deposition and myofiber loss. This study, using a murine model, demonstrates that endurance exercise attenuates these histopathological alterations, preserving muscle integrity. Findings support exercise as a viable strategy to counteract frailty‐induced musculoskeletal decline
Fujue Ji, Hae Sung Lee, Haesung Lee, Jong‐Hee Kim   +3 more
wiley   +1 more source

Semantic segmentation of remote sensing images based on dual‐channel attention mechanism

IET Image Processing
Due to the inadequate utilization of data correlation and complementarity in the feature extraction process of multimodal remote sensing images, the paper proposes a deep learning semantic segmentation algorithm based on the Dual Channel Attention ...
Jionghui Jiang, Xi'an Feng, Hui Huang
doaj   +1 more source

DFSNet: A 3D Point Cloud Segmentation Network toward Trees Detection in an Orchard Scene

Sensors
In order to guide orchard management robots to realize some tasks in orchard production such as autonomic navigation and precision spraying, this research proposed a deep-learning network called dynamic fusion segmentation network (DFSNet).
Xinrong Bu, Chao Liu, Hui Liu, Guanxue Yang, Yue Shen, Jie Xu   +5 more
doaj   +1 more source

Segmentation Ability Map: Interpret deep features for medical image segmentation [PDF]

Medical Image Analysis, 2023, 2022
Deep convolutional neural networks (CNNs) have been widely used for medical image segmentation. In most studies, only the output layer is exploited to compute the final segmentation results and the hidden representations of the deep learned features have not been well understood.
arxiv  

Development of 4T1 breast cancer mouse model system for preclinical carbonic anhydrase IX studies

FEBS Open Bio, EarlyView.
Carbonic anhydrase IX (CAIX) is a well‐recognised therapeutic target and prognostic biomarker in cancer. We developed and characterised a robust murine breast cancer model system that is suitable for CAIX studies in vitro and in vivo—it comprises both CAIX‐positive and CAIX‐negative controls and provides a solid platform for the comprehensive ...
Zane Kalniņa, Ilva Liekniņa, Svetlana Koteloviča, Ramona Petrovska, Gediminas Žvinys, Agne Petrosiute, Asta Zubrienė, Matīss Toms Laugalis, Vendija Skeltona, Juris Jansons, Madara Kreishmane, Edita Čapkauskaitė, Daumantas Matulis, Kaspars Tārs   +13 more
wiley   +1 more source

Adult Education Confronting White Christian Nationalism: A Thematic Analysis

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT As a way to conclude, this article elaborates key themes that emerged from the collected articles in this volume. Each article carries its own important message about the role of adult education in confronting White Christian nationalism, while here, Prins and Carr‐Chellman offer a thematic interpretation of the volume as a whole. These themes
Esther Prins, Davin Carr‐Chellman
wiley   +1 more source