Artykuły w czasopismach na temat „Whole slide image classification”
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Feng, Ming, Kele Xu, Nanhui Wu, Weiquan Huang, Yan Bai, Yin Wang, Changjian Wang i Huaimin Wang. "Trusted multi-scale classification framework for whole slide image". Biomedical Signal Processing and Control 89 (marzec 2024): 105790. http://dx.doi.org/10.1016/j.bspc.2023.105790.
Pełny tekst źródłaFridman, M. V., A. A. Kosareva, E. V. Snezhko, P. V. Kamlach i V. A. Kovalev. "Papillary thyroid carcinoma whole-slide images as a basis for deep learning". Informatics 20, nr 2 (29.06.2023): 28–38. http://dx.doi.org/10.37661/1816-0301-2023-20-2-28-38.
Pełny tekst źródłaZarella, Mark D., Matthew R. Quaschnick;, David E. Breen i Fernando U. Garcia. "Estimation of Fine-Scale Histologic Features at Low Magnification". Archives of Pathology & Laboratory Medicine 142, nr 11 (18.06.2018): 1394–402. http://dx.doi.org/10.5858/arpa.2017-0380-oa.
Pełny tekst źródłaChen, Kaitao, Shiliang Sun i Jing Zhao. "CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 2 (24.03.2024): 1120–28. http://dx.doi.org/10.1609/aaai.v38i2.27873.
Pełny tekst źródłaLewis, Joshua, Conrad Shebelut, Bradley Drumheller, Xuebao Zhang, Nithya Shanmugam, Michel Attieh, Michael Horwath, Anurag Khanna, Geoffrey Smith i David Gutman. "An Automated Pipeline for Cell Differentials on Whole-Slide Bone Marrow Aspirate Smears". American Journal of Clinical Pathology 158, Supplement_1 (1.11.2022): S12. http://dx.doi.org/10.1093/ajcp/aqac126.020.
Pełny tekst źródłaAhmed, Shakil, Asadullah Shaikh, Hani Alshahrani, Abdullah Alghamdi, Mesfer Alrizq, Junaid Baber i Maheen Bakhtyar. "Transfer Learning Approach for Classification of Histopathology Whole Slide Images". Sensors 21, nr 16 (9.08.2021): 5361. http://dx.doi.org/10.3390/s21165361.
Pełny tekst źródłaFranklin, Daniel L., Tara Pattilachan i Anthony Magliocco. "Abstract 5048: Imaging based EGFR mutation subtype classification using EfficientNet". Cancer Research 82, nr 12_Supplement (15.06.2022): 5048. http://dx.doi.org/10.1158/1538-7445.am2022-5048.
Pełny tekst źródłaJansen, Philipp, Adelaida Creosteanu, Viktor Matyas, Amrei Dilling, Ana Pina, Andrea Saggini, Tobias Schimming i in. "Deep Learning Assisted Diagnosis of Onychomycosis on Whole-Slide Images". Journal of Fungi 8, nr 9 (28.08.2022): 912. http://dx.doi.org/10.3390/jof8090912.
Pełny tekst źródłaAmgad, Mohamed, Habiba Elfandy, Hagar Hussein, Lamees A. Atteya, Mai A. T. Elsebaie, Lamia S. Abo Elnasr, Rokia A. Sakr i in. "Structured crowdsourcing enables convolutional segmentation of histology images". Bioinformatics 35, nr 18 (6.02.2019): 3461–67. http://dx.doi.org/10.1093/bioinformatics/btz083.
Pełny tekst źródłaWang, Qian, Ying Zou, Jianxin Zhang i Bin Liu. "Second-order multi-instance learning model for whole slide image classification". Physics in Medicine & Biology 66, nr 14 (12.07.2021): 145006. http://dx.doi.org/10.1088/1361-6560/ac0f30.
Pełny tekst źródłaMolla, Md Rony, i Ma Jian Fen. "Convolutional Sparse Coding Multiple Instance Learning for Whole Slide Image Classification". International Journal of Advanced Engineering Research and Science 10, nr 12 (2023): 096–104. http://dx.doi.org/10.22161/ijaers.1012.10.
Pełny tekst źródłaAftab, Rukhma, Yan Qiang i Zhao Juanjuan. "Contrastive Learning for Whole Slide Image Representation: A Self-Supervised Approach in Digital Pathology". European Journal of Applied Science, Engineering and Technology 2, nr 2 (1.03.2024): 175–85. http://dx.doi.org/10.59324/ejaset.2024.2(2).12.
Pełny tekst źródłaWalkowski, Slawomir, i Janusz Szymas. "Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI)". Analytical Cellular Pathology 35, nr 2 (2012): 117–22. http://dx.doi.org/10.1155/2012/483525.
Pełny tekst źródłaFell, Christina, Mahnaz Mohammadi, David Morrison, Ognjen Arandjelović, Sheeba Syed, Prakash Konanahalli, Sarah Bell, Gareth Bryson, David J. Harrison i David Harris-Birtill. "Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence". PLOS ONE 18, nr 3 (8.03.2023): e0282577. http://dx.doi.org/10.1371/journal.pone.0282577.
Pełny tekst źródłaGinley, Brandon, Brendon Lutnick, Kuang-Yu Jen, Agnes B. Fogo, Sanjay Jain, Avi Rosenberg, Vighnesh Walavalkar i in. "Computational Segmentation and Classification of Diabetic Glomerulosclerosis". Journal of the American Society of Nephrology 30, nr 10 (5.09.2019): 1953–67. http://dx.doi.org/10.1681/asn.2018121259.
Pełny tekst źródłaLewis, Joshua, Xuebao Zhang, Nithya Shanmugam, Bradley Drumheller, Conrad Shebelut, Geoffrey Smith, Lee Cooper i David Jaye. "Machine Learning-Based Automated Selection of Regions for Analysis on Bone Marrow Aspirate Smears". American Journal of Clinical Pathology 156, Supplement_1 (1.10.2021): S1—S2. http://dx.doi.org/10.1093/ajcp/aqab189.001.
Pełny tekst źródłaRao, Roopa S., Divya B. Shivanna, Kirti S. Mahadevpur, Sinchana G. Shivaramegowda, Spoorthi Prakash, Surendra Lakshminarayana i Shankargouda Patil. "Deep Learning-Based Microscopic Diagnosis of Odontogenic Keratocysts and Non-Keratocysts in Haematoxylin and Eosin-Stained Incisional Biopsies". Diagnostics 11, nr 12 (24.11.2021): 2184. http://dx.doi.org/10.3390/diagnostics11122184.
Pełny tekst źródłaDimitriou, Neofytos, Ognjen Arandjelović i David J. Harrison. "Magnifying Networks for Histopathological Images with Billions of Pixels". Diagnostics 14, nr 5 (1.03.2024): 524. http://dx.doi.org/10.3390/diagnostics14050524.
Pełny tekst źródłaWang, Shujun, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan i Pheng-Ann Heng. "RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification". Medical Image Analysis 58 (grudzień 2019): 101549. http://dx.doi.org/10.1016/j.media.2019.101549.
Pełny tekst źródłaYu, Jiahui, Tianyu Ma, Yu Fu, Hang Chen, Maode Lai, Cheng Zhuo i Yingke Xu. "Local-to-global spatial learning for whole-slide image representation and classification". Computerized Medical Imaging and Graphics 107 (lipiec 2023): 102230. http://dx.doi.org/10.1016/j.compmedimag.2023.102230.
Pełny tekst źródłaMa, Yingfan, Xiaoyuan Luo, Kexue Fu i Manning Wang. "Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 13 (24.03.2024): 14263–71. http://dx.doi.org/10.1609/aaai.v38i13.29338.
Pełny tekst źródłaYang, Rui, Pei Liu i Luping Ji. "ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classification". Computer Methods and Programs in Biomedicine 249 (czerwiec 2024): 108161. http://dx.doi.org/10.1016/j.cmpb.2024.108161.
Pełny tekst źródłaSong, JaeYen, Soyoung Im, Sung Hak Lee i Hyun-Jong Jang. "Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from Whole-Slide Histopathology Images". Diagnostics 12, nr 11 (28.10.2022): 2623. http://dx.doi.org/10.3390/diagnostics12112623.
Pełny tekst źródłaNeto, Pedro C., Sara P. Oliveira, Diana Montezuma, João Fraga, Ana Monteiro, Liliana Ribeiro, Sofia Gonçalves, Isabel M. Pinto i Jaime S. Cardoso. "iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images". Cancers 14, nr 10 (18.05.2022): 2489. http://dx.doi.org/10.3390/cancers14102489.
Pełny tekst źródłaGovind, Darshana, Brendon Lutnick, John E. Tomaszewski i Pinaki Sarder. "Automated erythrocyte detection and classification from whole slide images". Journal of Medical Imaging 5, nr 02 (10.04.2018): 1. http://dx.doi.org/10.1117/1.jmi.5.2.027501.
Pełny tekst źródłaTourniaire, Paul, Marius Ilie, Paul Hofman, Nicholas Ayache i Hervé Delingette. "Abstract 461: Mixed supervision to improve the classification and localization: Coherence of tumors in histological slides". Cancer Research 82, nr 12_Supplement (15.06.2022): 461. http://dx.doi.org/10.1158/1538-7445.am2022-461.
Pełny tekst źródłaJayaratne, N., A. Sasikumar, S. Subasinghe, A. Borkowski, S. Mastorides, L. Thomas, E. Mastorides i L. DeLand. "Using Deep Learning for Whole Slide Image Prostate Cancer Diagnosis and Grading in South Florida Veteran Population". American Journal of Clinical Pathology 156, Supplement_1 (1.10.2021): S141. http://dx.doi.org/10.1093/ajcp/aqab191.301.
Pełny tekst źródłaSoldatov, Sergey A., Danil M. Pashkov, Sergey A. Guda, Nikolay S. Karnaukhov, Alexander A. Guda i Alexander V. Soldatov. "Deep Learning Classification of Colorectal Lesions Based on Whole Slide Images". Algorithms 15, nr 11 (27.10.2022): 398. http://dx.doi.org/10.3390/a15110398.
Pełny tekst źródłaPrasad Battula, Krishna, i B. Sai Chandana. "Multi-class Cervical Cancer Classification using Transfer Learning-based Optimized SE-ResNet152 model in Pap Smear Whole Slide Images". International journal of electrical and computer engineering systems 14, nr 6 (12.07.2023): 623. http://dx.doi.org/10.32985/ijeces.14.6.1.
Pełny tekst źródłaCui, Lei, Jun Feng i Lin Yang. "Towards Fine Whole-Slide Skeletal Muscle Image Segmentation through Deep Hierarchically Connected Networks". Journal of Healthcare Engineering 2019 (27.06.2019): 1–10. http://dx.doi.org/10.1155/2019/5191630.
Pełny tekst źródłaSchmitt, Max, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, Markus Tiemann i in. "Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study". Journal of Medical Internet Research 23, nr 2 (2.02.2021): e23436. http://dx.doi.org/10.2196/23436.
Pełny tekst źródłaSrivastava, Arunima, Chaitanya Kulkarni, Kun Huang, Anil Parwani, Parag Mallick i Raghu Machiraju. "Imitating Pathologist Based Assessment With Interpretable and Context Based Neural Network Modeling of Histology Images". Biomedical Informatics Insights 10 (styczeń 2018): 117822261880748. http://dx.doi.org/10.1177/1178222618807481.
Pełny tekst źródłaRodner, Erik, Marcel Simon i Joachim Denzler. "Deep bilinear features for Her2 scoring in digital pathology". Current Directions in Biomedical Engineering 3, nr 2 (7.09.2017): 811–14. http://dx.doi.org/10.1515/cdbme-2017-0171.
Pełny tekst źródłaKanavati, Fahdi, Naoki Hirose, Takahiro Ishii, Ayaka Fukuda, Shin Ichihara i Masayuki Tsuneki. "A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images". Cancers 14, nr 5 (24.02.2022): 1159. http://dx.doi.org/10.3390/cancers14051159.
Pełny tekst źródłaFu, Zhibing, Qingkui Chen, Mingming Wang i Chen Huang. "Whole slide images classification model based on self-learning sampling". Biomedical Signal Processing and Control 90 (kwiecień 2024): 105826. http://dx.doi.org/10.1016/j.bspc.2023.105826.
Pełny tekst źródłaDimauro, Giovanni, Vitoantonio Bevilacqua, Pio Fina, Domenico Buongiorno, Antonio Brunetti, Sergio Latrofa, Michele Cassano i Matteo Gelardi. "Comparative Analysis of Rhino-Cytological Specimens with Image Analysis and Deep Learning Techniques". Electronics 9, nr 6 (8.06.2020): 952. http://dx.doi.org/10.3390/electronics9060952.
Pełny tekst źródłaGupta, Pushpanjali, Yenlin Huang, Prasan Kumar Sahoo, Jeng-Fu You, Sum-Fu Chiang, Djeane Debora Onthoni, Yih-Jong Chern i in. "Colon Tissues Classification and Localization in Whole Slide Images Using Deep Learning". Diagnostics 11, nr 8 (2.08.2021): 1398. http://dx.doi.org/10.3390/diagnostics11081398.
Pełny tekst źródłaBhatt, Anant R., Amit Ganatra i Ketan Kotecha. "Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing". PeerJ Computer Science 7 (18.02.2021): e348. http://dx.doi.org/10.7717/peerj-cs.348.
Pełny tekst źródłaWetteland, Rune, Kjersti Engan, Trygve Eftestøl, Vebjørn Kvikstad i Emiel A. M. Janssen. "A Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides". Technology in Cancer Research & Treatment 19 (1.01.2020): 153303382094678. http://dx.doi.org/10.1177/1533033820946787.
Pełny tekst źródłaWang, Haiyue, Yuming Jiang, Bailiang Li, Yi Cui, Dengwang Li i Ruijiang Li. "Single-Cell Spatial Analysis of Tumor and Immune Microenvironment on Whole-Slide Image Reveals Hepatocellular Carcinoma Subtypes". Cancers 12, nr 12 (28.11.2020): 3562. http://dx.doi.org/10.3390/cancers12123562.
Pełny tekst źródłaAcevedo Zamora, Marco Andres, i Balz S. Kamber. "Petrographic Microscopy with Ray Tracing and Segmentation from Multi-Angle Polarisation Whole-Slide Images". Minerals 13, nr 2 (20.01.2023): 156. http://dx.doi.org/10.3390/min13020156.
Pełny tekst źródłaPENKIN, M. A., A. V. KHVOSTIKOV i A. S. KRYLOV. "AUTOMATED METHOD FOR OPTIMUM SCALE SEARCH WHEN USING TRAINED MODELS FOR HISTOLOGICAL IMAGE ANALYSIS". Программирование, nr 3 (1.05.2023): 49–55. http://dx.doi.org/10.31857/s0132347423030032.
Pełny tekst źródłaEl-Hossiny, Ahmed S., Walid Al-Atabany, Osama Hassan, Ahmed M. Soliman i Sherif A. Sami. "Classification of Thyroid Carcinoma in Whole Slide Images Using Cascaded CNN". IEEE Access 9 (2021): 88429–38. http://dx.doi.org/10.1109/access.2021.3076158.
Pełny tekst źródłaYoshida, Hiroshi, Yoshiko Yamashita, Taichi Shimazu, Eric Cosatto, Tomoharu Kiyuna, Hirokazu Taniguchi, Shigeki Sekine i Atsushi Ochiai. "Automated histological classification of whole slide images of colorectal biopsy specimens". Oncotarget 8, nr 53 (12.10.2017): 90719–29. http://dx.doi.org/10.18632/oncotarget.21819.
Pełny tekst źródłaXu, Hongming, Sunho Park i Tae Hyun Hwang. "Computerized Classification of Prostate Cancer Gleason Scores from Whole Slide Images". IEEE/ACM Transactions on Computational Biology and Bioinformatics 17, nr 6 (1.11.2020): 1871–82. http://dx.doi.org/10.1109/tcbb.2019.2941195.
Pełny tekst źródłaHassanpour, Saeed, Bruno Korbar, AndreaM Olofson, AllenP Miraflor, CatherineM Nicka, MatthewA Suriawinata, Lorenzo Torresani i AriefA Suriawinata. "Deep learning for classification of colorectal polyps on whole-slide images". Journal of Pathology Informatics 8, nr 1 (2017): 30. http://dx.doi.org/10.4103/jpi.jpi_34_17.
Pełny tekst źródłaYoshida, Hiroshi, Taichi Shimazu, Tomoharu Kiyuna, Atsushi Marugame, Yoshiko Yamashita, Eric Cosatto, Hirokazu Taniguchi, Shigeki Sekine i Atsushi Ochiai. "Automated histological classification of whole-slide images of gastric biopsy specimens". Gastric Cancer 21, nr 2 (2.06.2017): 249–57. http://dx.doi.org/10.1007/s10120-017-0731-8.
Pełny tekst źródłaHyun-Cheol Park, Hyun-Cheol Park, Raman Ghimire Hyun-Cheol Park, Sahadev Poudel Raman Ghimire i Sang-Woong Lee Sahadev Poudel. "Deep Learning for Joint Classification and Segmentation of Histopathology Image". 網際網路技術學刊 23, nr 4 (lipiec 2022): 903–10. http://dx.doi.org/10.53106/160792642022072304025.
Pełny tekst źródłaXie, Peizhen, Ke Zuo, Jie Liu, Mingliang Chen, Shuang Zhao, Wenjie Kang i Fangfang Li. "Interpretable Diagnosis for Whole-Slide Melanoma Histology Images Using Convolutional Neural Network". Journal of Healthcare Engineering 2021 (1.11.2021): 1–7. http://dx.doi.org/10.1155/2021/8396438.
Pełny tekst źródłaHao, Fang, Xueyu Liu, Ming Li i Weixia Han. "Accurate Kidney Pathological Image Classification Method Based on Deep Learning and Multi-Modal Fusion Method with Application to Membranous Nephropathy". Life 13, nr 2 (31.01.2023): 399. http://dx.doi.org/10.3390/life13020399.
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