Search Results - Algorithmic image segmentation

Cu and Gd co-doped BaCeO3 proton conductors: Experimental vs SEM image algorithmic-segmentation results by Ananyev, Maxim, Medvedev, Dmitry, Gavrilyuk, Alexandr, Mitri, Stratigoula, Demin, Anatoly, Malkov, Vyacheslav, Tsiakaras, Panagiotis

“…•Novel algorithmic evaluation method of image resolution using SEM data.•Microstructure description and electrical conductivity evaluation via algorithmic segmentation of SEM images…”
Get full text

Minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification by Zenil, Hector, Kiani, Narsis A., Adams, Alyssa, Abrahão, Felipe S., Rueda-Toicen, Antonio, Zea, Allan A., Ozelim, Luan, Tegnér, Jesper

“…We present a novel, domain-agnostic, model-independent, unsupervised, and universally applicable Machine Learning approach for dimensionality reduction based on the principles of algorithmic complexity…”
Get full text

Region Detection and Segmentation of Brain Hemorrhage using Algorithmic Approach of Image Processing by Pai, Krithika M

“… and provides a set of images from different angles and the computer creates a cross-sectional view…”
Get full text

Cu and Gd co-doped BaCeO sub(3) proton conductors: Experimental vs SEM image algorithmic-segmentation results by Ananyev, Maxim, Medvedev, Dmitry, Gavrilyuk, Alexandr, Mitri, Stratigoula, Demin, Anatoly, Malkov, Vyacheslav, Tsiakaras, Panagiotis

“…Segmentation algorithms for the quantitative description of the surface microstructure and the evaluation of the grain-boundary conductivity of ceramic materials surface using SEM microphotographs…”
Get full text

A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery by Wallner, Jürgen, Schwaiger, Michael, Hochegger, Kerstin, Gsaxner, Christina, Zemann, Wolfgang, Egger, Jan

“…•Statistical evaluation of algorithmic against manual segmentations reproducible by others. Computer-assisted technologies, such as image-based segmentation, play an important role in the diagnosis and treatment support in cranio-maxillofacial surgery…”
Get full text

Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action by Wallner, Jürgen, Hochegger, Kerstin, Chen, Xiaojun, Mischak, Irene, Reinbacher, Knut, Pau, Mauro, Zrnc, Tomislav, Schwenzer-Zimmerer, Katja, Zemann, Wolfgang, Schmalstieg, Dieter, Egger, Jan

“…Computer assisted technologies based on algorithmic software segmentation are an increasing topic of interest in complex surgical cases…”
Get full text

The Medical Segmentation Decathlon by Antonelli, Michela, Reinke, Annika, Bakas, Spyridon, Farahani, Keyvan, Kopp-Schneider, Annette, Landman, Bennett A., Litjens, Geert, Menze, Bjoern, Ronneberger, Olaf, Summers, Ronald M., van Ginneken, Bram, Bilello, Michel, Bilic, Patrick, Christ, Patrick F., Do, Richard K. G., Gollub, Marc J., Heckers, Stephan H., Huisman, Henkjan, Jarnagin, William R., McHugo, Maureen K., Napel, Sandy, Pernicka, Jennifer S. Golia, Rhode, Kawal, Tobon-Gomez, Catalina, Vorontsov, Eugene, Meakin, James A., Ourselin, Sebastien, Wiesenfarth, Manuel, Arbeláez, Pablo, Bae, Byeonguk, Chen, Sihong, Daza, Laura, Feng, Jianjiang, He, Baochun, Isensee, Fabian, Ji, Yuanfeng, Jia, Fucang, Kim, Ildoo, Maier-Hein, Klaus, Merhof, Dorit, Pai, Akshay, Park, Beomhee, Perslev, Mathias, Rezaiifar, Ramin, Rippel, Oliver, Sarasua, Ignacio, Shen, Wei, Son, Jaemin, Wachinger, Christian, Wang, Liansheng, Wang, Yan, Xia, Yingda, Xu, Daguang, Xu, Zhanwei, Zheng, Yefeng, Simpson, Amber L., Maier-Hein, Lena, Cardoso, M. Jorge

“… Although segmentation is the most widely investigated medical image processing task, the various challenges have been organized to focus only on specific clinical tasks…”
Get full text

AN EFFICIENT ALGORITHMIC SOLUTION FOR AUTOMATIC SEGMENTATION OF LUNGS FROM CT IMAGES by Shaukat, F, Raja, G

“…A novel technique for lung segmentation from input Computed Tomography (CT) images using optimal thresholding was developed…”
Get full text

Segmentation of the hippocampus by transferring algorithmic knowledge for large cohort processing by Thyreau, Benjamin, Sato, Kazunori, Fukuda, Hiroshi, Taki, Yasuyuki

“…•We present a rapid MRI hippocampal segmentation software that has been validated in large cohorts…”
Get full text

On the importance of FIB-SEM specific segmentation algorithms for porous media by Salzer, Martin, Thiele, Simon, Zengerle, Roland, Schmidt, Volker

“…A new algorithmic approach to segmentation of highly porous three dimensional image data gained by focused ion beam tomography is described which extends the key-principle of local threshold…”
Get full text

Obscurant Segmentation in Long Wave Infrared Images Using GLCM Textures by Abuhussein, Mohammed, Robinson, Aaron

“… The majority of the available image segmentation algorithmic development and results focus on visible image modalities…”
Get full text

Tracing and Segmentation of Molecular Patterns in 3-Dimensional Cryo-ET/EM Density Maps Through Algorithmic Image Processing and Deep Learning-Based Techniques by Sazzed, Salim

“…) images, which suffer from low signal-to-noise (SNR) ratios and the presence of missing wedge, as well as diverse shape characteristics of actin filaments…”
Get full text

Computed tomography data collection of the complete human mandible and valid clinical ground truth models by Wallner, Jürgen, Mischak, Irene, Jan Egger

“…Image-based algorithmic software segmentation is an increasingly important topic in many medical fields…”
Get full text

An algorithmic detection of brain tumour using image filtering and segmentation of various radiographs by Swami, Mahesh, Verma, Divya

“…Cancer as a disease has taken the form of an epidemic for human beings. This work processes radiograph CT and MRI images to perform detection of brain tumour using a hybrid algorithm based on image processing and segmentation…”
Get full text

A two-step registration-classification approach to automated segmentation of multimodal images for high-throughput greenhouse plant phenotyping by Henke, Michael, Junker, Astrid, Neumann, Kerstin, Altmann, Thomas, Gladilin, Evgeny

“…Background Automated segmentation of large amount of image data is one of the major bottlenecks in high-throughput plant phenotyping…”
Get full text

LOGISMOS-Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint by Yin Yin, Xiangmin Zhang, Williams, Rachel, Xiaodong Wu, Anderson, Donald D, Sonka, Milan

“… (layered optimal graph image segmentation of multiple objects and surfaces), is reported. The approach is based on the algorithmic incorporation of multiple spatial…”
Get full text

Tracing and segmentation of molecular patterns in 3-dimensional cryo-et/em density maps through algorithmic image processing and deep learning-based techniques by Sazzed, Salim

“…) images, which suffer from low signal-to-noise (SNR) ratios and the presence of missing wedge, as well as diverse shape characteristics of actin filaments…”
Get full text

U-DAVIS-Deep Learning Based Arm Venous Image Segmentation Technique for Venipuncture by Kuthiala, Avik, Tuli, Naman, Singh, Harpreet, Boyraz, Omer F., Jindal, Neeru, Mavuduru, Ravimohan, Pattanaik, Smita, Rana, Prashant Singh

“… The acquired images were annotated to create the corresponding masks for the dataset. To extend the scope and assert the usability of the dataset, the images, and corresponding masks were used to train an image segmentation model…”
Get full text

Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation by Warfield, S.K., Zou, K.H., Wells, W.M.

“… The performance of raters (human or algorithmic) generating segmentations of medical images has been difficult to quantify because of the…”
Get full text

An enhanced visual state space model for myocardial pathology segmentation in multi‐sequence cardiac MRI by Li, Shuning, Li, Xiang, Wang, Pingping, Liu, Kunmeng, Wei, Benzheng, Cong, Jinyu

“… complexity of transformers is high, which makes myocardial pathology segmentation challenging. Purpose This study aims to develop a novel model to address the image…”
Get full text