Sökresultat - "Automated segmentation"

Electron Microscopy Techniques for 3D Plant ER Imaging

Pain, Charlotte^Aff3, Kittelmann, Maike^Aff4

Kriechbaumer, Verena^Aff2, Walker, John M.^Aff1

Advancing Gastrointestinal Tract Cancer Treatment: A Comparative Study of State-of-the-Art Deep Learning Models for MRI Segmentation

Neware, Govindram, Poulose, Alwin

2025 Emerging Technologies for Intelligent Systems (ETIS)

Statistical Modeling of Spine MRI: GMM and AGMM-Based Segmentation for Lumbar Angle Classification

Bhagoji, Akash Gurusiddappa, Benni, Rashmi, Patted, Prateek Shivanand, Alagawadi, Shashank

2024 IEEE Conference on Engineering Informatics (ICEI)

Automated Segmentation of Clot Components from Martius Scarlet Blue Stained Digital Histology using Deep Learning

Patel, Tatsat R., Crever, Mateo, Tomaszeweski, John E., Tutino, Vincent M.

2024 IEEE Western New York Image and Signal Processing Workshop (WNYISPW)

Optimizing Brain Tumor Segmentation in MRI images with Enhanced nnU-Net

Jyothi, C K, Awati, Anupama, Torse, Dattaprasad

2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON)

Enhancing Colorectal Cancer Treatment through Automated Segmentation with Convolutional Neural Networks and Machine Learning Approaches

Gaddam, Sujatha, Lakshmi, T. R. Vijaya, Shirley, C. P., Ravivarman, G, M, Rajendiran, Maranan, Ramya

2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN)

Deep learning assisted detection and segmentation of uterine fibroids using multi-orientation magnetic resonance imaging

Liu, Xin-Yu, Yuan, Zhi-Lin, Cong, Fu-Ze, Mao, Li, Li, Xiu-Li, Zhou, Zhen, Ren, Jing, Li, Yuan, Zhang, Yan, He, Yong-Lan^{Aff1, IDs00261025049348_cor1}, Xue, Hua-Dan^{Aff1, IDs00261025049348_cor2}, Jin, Zheng-Yu^{Aff1, IDs00261025049348_cor3}

Deep Convolutional Neural Network for Dedicated Regions-of-Interest Based Multi-Parameter Quantitative Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of the Knee Joint

Lu, Xing, Ma, Yajun, Chang, Eric Y, Athertya, Jiyo, Jang, Hyungseok, Jerban, Saeed, Covey, Dana C, Bukata, Susan, Chung, Christine B, Du, Jiang

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LC-SegDiff: Label-Constraint Diffusion Model for Medical Image Segmentation

Lu, Yonghan, Qiu, Chengjian, Teng, Qiaoying, Chen, Jun, Free, Robert, Liu, Lu, Song, Yuqing, Liu, Zhe

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Advanced Sports Performance Analysis using Deep Learning for Posture and Movement Identification

Arvind, S., K.L., Hemalatha, B.P., Upendra Roy, Sandeep, Kasturi Sai, Pareek, Piyush Kumar

2023 International Conference on Data Science and Network Security (ICDSNS)

Head and Neck Gross Tumor Volume Automatic Segmentation Using PocketNet

Twam, Awj^Aff11, Celaya, Adrian^Aff11, Lim, Evan^Aff12, Elsayes, Khaled^Aff13, Fuentes, David^Aff11, Netherton, Tucker^Aff14

Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Wahid, Kareem A., editor^Aff7, Dede, Cem, editor^Aff8, Naser, Mohamed A., editor^Aff9, Fuller, Clifton D., editor^Aff10

Ensemble Deep Learning Models for Automated Segmentation of Tumor and Lymph Node Volumes in Head and Neck Cancer Using Pre- and Mid-Treatment MRI: Application of Auto3DSeg and SegResNet

LaBella, Dominic^Aff11

Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Wahid, Kareem A., editor^Aff7, Dede, Cem, editor^Aff8, Naser, Mohamed A., editor^Aff9, Fuller, Clifton D., editor^Aff10

Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs.

Kafali, Sevgi, Shih, Shu-Fu, Li, Xinzhou, Kim, Grace, Kelly, Tristan, Chowdhury, Shilpy, Loong, Spencer, Moretz, Jeremy, Barnes, Samuel, Li, Zhaoping, Wu, Holden

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Diffusion-CSPAM U-Net: A U-Net model integrated hybrid attention mechanism and diffusion model for segmentation of computed tomography images of brain metastases

Yiren Wang, Zhongjian Wen, Shuilan Bao, Delong Huang, Youhua Wang, Bo Yang, Yunfei Li, Ping Zhou, Huaiwen Zhang, Haowen Pang

electronic resource

Visa

Expert Variability and Deep Learning Performance in Spinal Cord Lesion Segmentation for Multiple Sclerosis Patients

Walsh, Ricky, Meuree, Cedric, Kerbrat, Anne, Masson, Arthur, Hussein, Burhan Rashid, Gaubert, Malo, Galassi, Francesca, Combes, Benoit

2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)

Exploring Uncertainty for Clinical Acceptability in Head and Neck Deep Learning-Based OAR Segmentation

Cubero, L., Serrano, J., Castelli, J., De Crevoisier, R., Acosta, O., Pascau, J.

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

Image Processing for Volume Electron Microscopy

Kornfeld, Jörgen^{Aff6, Aff7}, Svara, Fabian^{Aff7, Aff8}, Wanner, Adrian A.^{Aff7, Aff9}

Wacker, Irene^Aff2, Hummel, Eric^Aff3, Burgold, Steffen^Aff4, Schröder, Rasmus^Aff5, Walz, Wolfgang^Aff1

Fully automated whole brain segmentation from rat MRI scans with a convolutional neural network

Porter, Valerie A, Hobson, Brad A, Foster, Brent, Lein, Pamela J, Chaudhari, Abhijit J

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PET/CT-based 3D multi-class semantic segmentation of ovarian cancer and the stability of the extracted radiomics features

Sadeghi, Mohammad Hossein, Sina, Sedigheh^{Aff1, Aff2, IDs1324602401485y_cor1}, Alavi, Mehrosadat, Giammarile, Francesco, Yeong, Chai Hong^{Aff5, Aff6}

Clinical Use of Hematoma Volume Based On Automated Segmentation of Chronic Subdural Hematoma Using 3D U-Net

Inomata, Takayuki^{Aff1, Aff2, IDs0006202401428w_cor1}, Nakaya, Koji, Matsuhiro, Mikio, Takei, Jun, Shiozaki, Hiroto, Noda, Yasuto