Cargando…

Development of Coral Investigation System Based on Semantic Segmentation of Single-Channel Images

Among aquatic biota, corals provide shelter with sufficient nutrition to a wide variety of underwater life. However, a severe decline in the coral resources can be noted in the last decades due to global environmental changes causing marine pollution. Hence, it is of paramount importance to develop...

Descripción completa

Detalles Bibliográficos
Autores principales:	Song, Hong, Mehdi, Syed Raza, Zhang, Yangfan, Shentu, Yichun, Wan, Qixin, Wang, Wenxin, Raza, Kazim, Huang, Hui
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961541/ https://www.ncbi.nlm.nih.gov/pubmed/33800839 http://dx.doi.org/10.3390/s21051848

Ejemplares similares

Unified DeepLabV3+ for Semi-Dark Image Semantic Segmentation
por: Memon, Mehak Maqbool, et al.
Publicado: (2022)

SCU-Net: Semantic Segmentation Network for Learning Channel Information on Remote Sensing Images
por: Wang, Wei, et al.
Publicado: (2022)

Deep Semantic Segmentation of Angiogenesis Images
por: Ibragimov, Alisher, et al.
Publicado: (2023)

Investigating Semantic Augmentation in Virtual Environments for Image Segmentation Using Convolutional Neural Networks
por: Ganter, Joshua, et al.
Publicado: (2021)

Semantic and structural image segmentation for prosthetic vision
por: Sanchez-Garcia, Melani, et al.
Publicado: (2020)

Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support
por: Mohammadhassanzadeh, Hossein, et al.
Publicado: (2017)

Analysis of Tracheobronchial Diverticula Based on Semantic Segmentation of CT Images via the Dual-Channel Attention Network
por: Zhang, Maoyi, et al.
Publicado: (2022)

Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Images
por: Shahzad, Muhammad, et al.
Publicado: (2020)

Global-and-Local Context Network for Semantic Segmentation of Street View Images
por: Lin, Chih-Yang, et al.
Publicado: (2020)

Boosting Semantic Segmentation by Conditioning the Backbone with Semantic Boundaries
por: Ishikawa, Haruya, et al.
Publicado: (2023)

MFEAFN: Multi-scale feature enhanced adaptive fusion network for image semantic segmentation
por: Li, Shusheng, et al.
Publicado: (2022)

Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries
por: Syed, Shaheen, et al.
Publicado: (2023)

An improved beluga whale optimizer—Derived Adaptive multi-channel DeepLabv3+ for semantic segmentation of aerial images
por: P., Anilkumar, et al.
Publicado: (2023)

A Novel Upsampling and Context Convolution for Image Semantic Segmentation
por: Sediqi, Khwaja Monib, et al.
Publicado: (2021)

Active Learning with Bayesian UNet for Efficient Semantic Image Segmentation
por: Saidu, Isah Charles, et al.
Publicado: (2021)

Fully automatic image colorization based on semantic segmentation technology
por: Xu, Min, et al.
Publicado: (2021)

Semantic segmentation of multispectral photoacoustic images using deep learning
por: Schellenberg, Melanie, et al.
Publicado: (2022)

Medical Image Segmentation with Learning Semantic and Global Contextual Representation
por: Alahmadi, Mohammad D.
Publicado: (2022)

Semantic Segmentation of Medical Images Based on Runge–Kutta Methods
por: Zhu, Mai, et al.
Publicado: (2023)

Knowledge Distillation for Semantic Segmentation Using Channel and Spatial Correlations and Adaptive Cross Entropy
por: Park, Sangyong, et al.
Publicado: (2020)

Latent 3D Volume for Joint Depth Estimation and Semantic Segmentation from a Single Image
por: Ito, Seiya, et al.
Publicado: (2020)

Theory of scientific investigation by Hempel and a case of Semmelweis
por: Raza, Syed Ahsan
Publicado: (2017)

FASSEG: A FAce semantic SEGmentation repository for face image analysis
por: Benini, Sergio, et al.
Publicado: (2019)

Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels
por: Roberts, Graham, et al.
Publicado: (2019)

Semantic segmentation to identify bladder layers from H&E Images
por: Niazi, Muhammad Khalid Khan, et al.
Publicado: (2020)

EcSeg: Semantic Segmentation of Metaphase Images Containing Extrachromosomal DNA
por: Rajkumar, Utkrisht, et al.
Publicado: (2019)

Deep Neural Network-Based Semantic Segmentation of Microvascular Decompression Images
por: Bai, Ruifeng, et al.
Publicado: (2021)

Semantic segmentation of human oocyte images using deep neural networks
por: Targosz, Anna, et al.
Publicado: (2021)

An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation
por: Wang, Wei, et al.
Publicado: (2021)

Semantic segmentation in medical images through transfused convolution and transformer networks
por: Dhamija, Tashvik, et al.
Publicado: (2022)

A method for improving semantic segmentation using thermographic images in infants
por: Asano, Hidetsugu, et al.
Publicado: (2022)

Semantic segmentation method of underwater images based on encoder-decoder architecture
por: Wang, Jinkang, et al.
Publicado: (2022)

Semantic Segmentation of Maxillary Teeth and Palatal Rugae in Two-Dimensional Images
por: El Bsat, Abdul Rehman, et al.
Publicado: (2022)

Review of Semantic Segmentation of Medical Images Using Modified Architectures of UNET
por: Krithika alias AnbuDevi, M., et al.
Publicado: (2022)

Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns
por: Najafian, Keyhan, et al.
Publicado: (2023)

Fully Convolutional Network for the Semantic Segmentation of Medical Images: A Survey
por: Huang, Sheng-Yao, et al.
Publicado: (2022)

EDPNet: An Encoding–Decoding Network with Pyramidal Representation for Semantic Image Segmentation
por: Chen, Dong, et al.
Publicado: (2023)

An Interactive Image Segmentation Method Based on Multi-Level Semantic Fusion
por: Zou, Ruirui, et al.
Publicado: (2023)

Dataset of bird's eye chilies farm for stereo image semantic segmentation
por: Saipullah, K.M., et al.
Publicado: (2023)

Investigation of biases in convolutional neural networks for semantic segmentation using performance sensitivity analysis
por: Güllmar, Daniel, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_gast99cst8bt5p3hl4higo843d