文献类型： 会议论文
第一作者： Teresa Cacace
作者： Teresa Cacace 1 ; Pierluigi Carcagni 1 ; Mariacristina Cocca 2 ; Melania Paturzo 1 ; Cosimo Distante 1 ; Marco Del-Coco 1 ;
作者机构： 1.Institute of Applied Science and Intelligent System ISASI, National Research Council of Italy
2.Institute for Polymers Composites and Biomaterials, National Research Council of Italy
关键词： Dataset;Microplastic;Holography;Deep learning
会议名称： International Conference on Image Analysis and Processing
主办单位：
页码： 123-133
摘要： Microfiber shedding caused by the washing of synthetic textiles is widely recognized as a major source of environmental microplastic pollution. Such a phenomenon pushed the scientific community to develop ever better methodologies for the detection and the identification of synthetic microfibers dispersed in water involving, mainly because of the microscopic nature of the elements under analysis, a wide range of competencies ranging from instrumental acquisition to data analysis. This work deploys a large dataset of holographic images of microplastic and non-microplastic samples carefully labeled by experts. Data acquisition starts from video sequences collected by means of a holographic microscope recording the flow of water samples; then, holography postprocessing and object detection are performed to retrieve the patches of interest. Finally, classification tests exploiting deep learning strategies have been performed to validate the proposed dataset. The dataset and the benchmarking code are available at: https://github.com/beppe2hd/HMPD.
分类号： tp391.41-53
- 相关文献
[1]VC++非托管模式下使用STL模拟数据集DataSet. 樊景超,周国民. 2010
[2]Learning Functional Embedding of Genes Governed by Pair-wised Labels. Cao, Jingjun,Wu, Zhengli,Ye, Wenting,Wang, Haohan. 2017
[3]Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep Learning. Maziar Hafezi,Nasim Montazeri,Kaiyin Zhu,Hisham Alshaer,Azadeh Yadollahi,Babak Taati. 2019
[4]Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT. Peter D. Erickson,Tejas Sudharshan Mathai,Ronald M. Summers. 2022
[5]An Intelligent Network Planning Algorithm for Emergency Communication with Deep Learning. Zongzhe Nie,Wei Zhu,Ruopeng Yang,Yu Wang. 2019
[6]Research on the Key Techniques of Semantic Mining of Information Digest in the Field of Agricultural Major Crops Based on Deep Learning. Ping Qian,Hao G. J. M. Gong,Yunpeng Cui. 2019
[7]DEEP LEARNING WITH ORTHOGONAL VOLUMETRIC HED SEGMENTATION AND 3D SURFACE RECONSTRUCTION MODEL OF PROSTATE MRI. Ruida Cheng,Nathan Lay,Francesca Mertan,Baris Turkbey,Holger R. Roth,Le Lu,William Gandler,Evan S. McCreedy,Thomas Pohida,Peter Choyke,Matthew J. McAuliffe,Ronald M. Summers. 2017
[8]Mapping Rice Area Using Sentinel-1 SAR Data and Deep Learning. Guozhuang Shen,Chenwei Nie. 2023
[9]PSPU-Net for Automatic Short Axis Cine MRI Segmentation of Left and Right Ventricles. Manuel Perez-Pelegri,Irene Del-Canto,Jose V. Monmeneu,Vicente Bodi,Maria P. Lopez-Lereu,David Moratal,Silvia Ruiz-Espana. 2020
[10]Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. Zhiyong Lu,Ronald M. Summers,Tejas Sudharshan Mathai,Sungwon Lee,Daniel C. Elton,Thomas C. Shen,Yifan Peng. 2021
[11]W-net: Deep Convolutional Network with Gray-Level Co-occurrence Matrix and Hybrid Loss Function for Hyperspectral Image Classification. Jinchao Jiao,Changqing Yin,Fei Teng. 2023
[12]Integration of Raman Spectroscopy, On-Line Microscopic Imaging and Deep Learning-Based Image Analysis for Real-Time Monitoring of Cell Culture Process. Xiaoli Wang,Guangzheng Zhou,Xue Zhong Wang. 2025
[13]Drug Synergistic Combinations Predictions via Large-Scale Pre-training and Graph Structure Learning. Zhihang Hu,Qinze Yu,Yucheng Guo,Taifeng Wang,Irwin King,Xin Gao,Le Song,Yu Li. 2023
[14]Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. Paul Dubois,Paul-Henry Cournede,Nikos Paragios,Pascal Fenoglietto. 2024
[15]On The Local Geometry of the Pet Reconstruction Problem. Ramy Merabet,Florent Sureau,Alain Trouvé. 2024
[16]Learning with Fixed Point Condition for Convergent PNP PET Reconstruction. Marion Savanier,Claude Comtat,Florent Sureau. 2024
[17]Automated Fruit Classification Based on Deep Learning Utilizing Yolov8. Christine Dewi,Oksam M Kamlasi,Gunjan Chhabra,Guowei Dai,Keshav Kaushik,Inam Ullah Khan. 2023
[18]Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep Learning. Maziar Hafezi,Nasim Montazeri,Kaiyin Zhu,Hisham Alshaer,Azadeh Yadollahi,Babak Taati. 2019
[19]Automated Assessment of Renal Calculi in Serial Computed Tomography Scans. Pritam Mukherjee,Sungwon Lee,Perry J. Pickhardt,Ronald M. Summers. 2022
[20]Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images. Bikash Santra,Abhishek Jha,Pritam Mukherjee,Mayank Patel,Karel Pacak,Ronald M. Summers. 2024
作者其他论文 更多>>
-
Color holograms synthesis framework for three-dimensional scenes reconstruction
作者：Pietro Ferraro;Pasquale Memmolo;Marco Leo;Cosimo Distante;Melania Paturzo
关键词：Color holography;adaptive transformation;image denoising
-
Sparsity promoting automatic focusing in digital holography
作者：Melania Paturzo;Bahrain Javidi;Paolo Antonio Netti;Pietro Ferraro;Pasquale Memmolo
关键词：Digital holography;Sparsity measure;Refocusing criterion
