Artigos de revistas sobre o tema "Whole slide image classification"
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Feng, Ming, Kele Xu, Nanhui Wu, Weiquan Huang, Yan Bai, Yin Wang, Changjian Wang e Huaimin Wang. "Trusted multi-scale classification framework for whole slide image". Biomedical Signal Processing and Control 89 (março de 2024): 105790. http://dx.doi.org/10.1016/j.bspc.2023.105790.
Texto completo da fonteFridman, M. V., A. A. Kosareva, E. V. Snezhko, P. V. Kamlach e V. A. Kovalev. "Papillary thyroid carcinoma whole-slide images as a basis for deep learning". Informatics 20, n.º 2 (29 de junho de 2023): 28–38. http://dx.doi.org/10.37661/1816-0301-2023-20-2-28-38.
Texto completo da fonteZarella, Mark D., Matthew R. Quaschnick;, David E. Breen e Fernando U. Garcia. "Estimation of Fine-Scale Histologic Features at Low Magnification". Archives of Pathology & Laboratory Medicine 142, n.º 11 (18 de junho de 2018): 1394–402. http://dx.doi.org/10.5858/arpa.2017-0380-oa.
Texto completo da fonteChen, Kaitao, Shiliang Sun e Jing Zhao. "CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 2 (24 de março de 2024): 1120–28. http://dx.doi.org/10.1609/aaai.v38i2.27873.
Texto completo da fonteLewis, Joshua, Conrad Shebelut, Bradley Drumheller, Xuebao Zhang, Nithya Shanmugam, Michel Attieh, Michael Horwath, Anurag Khanna, Geoffrey Smith e David Gutman. "An Automated Pipeline for Cell Differentials on Whole-Slide Bone Marrow Aspirate Smears". American Journal of Clinical Pathology 158, Supplement_1 (1 de novembro de 2022): S12. http://dx.doi.org/10.1093/ajcp/aqac126.020.
Texto completo da fonteAhmed, Shakil, Asadullah Shaikh, Hani Alshahrani, Abdullah Alghamdi, Mesfer Alrizq, Junaid Baber e Maheen Bakhtyar. "Transfer Learning Approach for Classification of Histopathology Whole Slide Images". Sensors 21, n.º 16 (9 de agosto de 2021): 5361. http://dx.doi.org/10.3390/s21165361.
Texto completo da fonteFranklin, Daniel L., Tara Pattilachan e Anthony Magliocco. "Abstract 5048: Imaging based EGFR mutation subtype classification using EfficientNet". Cancer Research 82, n.º 12_Supplement (15 de junho de 2022): 5048. http://dx.doi.org/10.1158/1538-7445.am2022-5048.
Texto completo da fonteJansen, Philipp, Adelaida Creosteanu, Viktor Matyas, Amrei Dilling, Ana Pina, Andrea Saggini, Tobias Schimming et al. "Deep Learning Assisted Diagnosis of Onychomycosis on Whole-Slide Images". Journal of Fungi 8, n.º 9 (28 de agosto de 2022): 912. http://dx.doi.org/10.3390/jof8090912.
Texto completo da fonteAmgad, Mohamed, Habiba Elfandy, Hagar Hussein, Lamees A. Atteya, Mai A. T. Elsebaie, Lamia S. Abo Elnasr, Rokia A. Sakr et al. "Structured crowdsourcing enables convolutional segmentation of histology images". Bioinformatics 35, n.º 18 (6 de fevereiro de 2019): 3461–67. http://dx.doi.org/10.1093/bioinformatics/btz083.
Texto completo da fonteWang, Qian, Ying Zou, Jianxin Zhang e Bin Liu. "Second-order multi-instance learning model for whole slide image classification". Physics in Medicine & Biology 66, n.º 14 (12 de julho de 2021): 145006. http://dx.doi.org/10.1088/1361-6560/ac0f30.
Texto completo da fonteMolla, Md Rony, e Ma Jian Fen. "Convolutional Sparse Coding Multiple Instance Learning for Whole Slide Image Classification". International Journal of Advanced Engineering Research and Science 10, n.º 12 (2023): 096–104. http://dx.doi.org/10.22161/ijaers.1012.10.
Texto completo da fonteAftab, Rukhma, Yan Qiang e 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, n.º 2 (1 de março de 2024): 175–85. http://dx.doi.org/10.59324/ejaset.2024.2(2).12.
Texto completo da fonteWalkowski, Slawomir, e Janusz Szymas. "Histopathologic Patterns of Nervous System Tumors Based on Computer Vision Methods and Whole Slide Imaging (WSI)". Analytical Cellular Pathology 35, n.º 2 (2012): 117–22. http://dx.doi.org/10.1155/2012/483525.
Texto completo da fonteFell, Christina, Mahnaz Mohammadi, David Morrison, Ognjen Arandjelović, Sheeba Syed, Prakash Konanahalli, Sarah Bell, Gareth Bryson, David J. Harrison e David Harris-Birtill. "Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence". PLOS ONE 18, n.º 3 (8 de março de 2023): e0282577. http://dx.doi.org/10.1371/journal.pone.0282577.
Texto completo da fonteGinley, Brandon, Brendon Lutnick, Kuang-Yu Jen, Agnes B. Fogo, Sanjay Jain, Avi Rosenberg, Vighnesh Walavalkar et al. "Computational Segmentation and Classification of Diabetic Glomerulosclerosis". Journal of the American Society of Nephrology 30, n.º 10 (5 de setembro de 2019): 1953–67. http://dx.doi.org/10.1681/asn.2018121259.
Texto completo da fonteLewis, Joshua, Xuebao Zhang, Nithya Shanmugam, Bradley Drumheller, Conrad Shebelut, Geoffrey Smith, Lee Cooper e 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 de outubro de 2021): S1—S2. http://dx.doi.org/10.1093/ajcp/aqab189.001.
Texto completo da fonteRao, Roopa S., Divya B. Shivanna, Kirti S. Mahadevpur, Sinchana G. Shivaramegowda, Spoorthi Prakash, Surendra Lakshminarayana e Shankargouda Patil. "Deep Learning-Based Microscopic Diagnosis of Odontogenic Keratocysts and Non-Keratocysts in Haematoxylin and Eosin-Stained Incisional Biopsies". Diagnostics 11, n.º 12 (24 de novembro de 2021): 2184. http://dx.doi.org/10.3390/diagnostics11122184.
Texto completo da fonteDimitriou, Neofytos, Ognjen Arandjelović e David J. Harrison. "Magnifying Networks for Histopathological Images with Billions of Pixels". Diagnostics 14, n.º 5 (1 de março de 2024): 524. http://dx.doi.org/10.3390/diagnostics14050524.
Texto completo da fonteWang, Shujun, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan e Pheng-Ann Heng. "RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification". Medical Image Analysis 58 (dezembro de 2019): 101549. http://dx.doi.org/10.1016/j.media.2019.101549.
Texto completo da fonteYu, Jiahui, Tianyu Ma, Yu Fu, Hang Chen, Maode Lai, Cheng Zhuo e Yingke Xu. "Local-to-global spatial learning for whole-slide image representation and classification". Computerized Medical Imaging and Graphics 107 (julho de 2023): 102230. http://dx.doi.org/10.1016/j.compmedimag.2023.102230.
Texto completo da fonteMa, Yingfan, Xiaoyuan Luo, Kexue Fu e Manning Wang. "Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 13 (24 de março de 2024): 14263–71. http://dx.doi.org/10.1609/aaai.v38i13.29338.
Texto completo da fonteYang, Rui, Pei Liu e Luping Ji. "ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classification". Computer Methods and Programs in Biomedicine 249 (junho de 2024): 108161. http://dx.doi.org/10.1016/j.cmpb.2024.108161.
Texto completo da fonteSong, JaeYen, Soyoung Im, Sung Hak Lee e Hyun-Jong Jang. "Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from Whole-Slide Histopathology Images". Diagnostics 12, n.º 11 (28 de outubro de 2022): 2623. http://dx.doi.org/10.3390/diagnostics12112623.
Texto completo da fonteNeto, Pedro C., Sara P. Oliveira, Diana Montezuma, João Fraga, Ana Monteiro, Liliana Ribeiro, Sofia Gonçalves, Isabel M. Pinto e Jaime S. Cardoso. "iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images". Cancers 14, n.º 10 (18 de maio de 2022): 2489. http://dx.doi.org/10.3390/cancers14102489.
Texto completo da fonteGovind, Darshana, Brendon Lutnick, John E. Tomaszewski e Pinaki Sarder. "Automated erythrocyte detection and classification from whole slide images". Journal of Medical Imaging 5, n.º 02 (10 de abril de 2018): 1. http://dx.doi.org/10.1117/1.jmi.5.2.027501.
Texto completo da fonteTourniaire, Paul, Marius Ilie, Paul Hofman, Nicholas Ayache e Hervé Delingette. "Abstract 461: Mixed supervision to improve the classification and localization: Coherence of tumors in histological slides". Cancer Research 82, n.º 12_Supplement (15 de junho de 2022): 461. http://dx.doi.org/10.1158/1538-7445.am2022-461.
Texto completo da fonteJayaratne, N., A. Sasikumar, S. Subasinghe, A. Borkowski, S. Mastorides, L. Thomas, E. Mastorides e 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 de outubro de 2021): S141. http://dx.doi.org/10.1093/ajcp/aqab191.301.
Texto completo da fonteSoldatov, Sergey A., Danil M. Pashkov, Sergey A. Guda, Nikolay S. Karnaukhov, Alexander A. Guda e Alexander V. Soldatov. "Deep Learning Classification of Colorectal Lesions Based on Whole Slide Images". Algorithms 15, n.º 11 (27 de outubro de 2022): 398. http://dx.doi.org/10.3390/a15110398.
Texto completo da fontePrasad Battula, Krishna, e 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, n.º 6 (12 de julho de 2023): 623. http://dx.doi.org/10.32985/ijeces.14.6.1.
Texto completo da fonteCui, Lei, Jun Feng e Lin Yang. "Towards Fine Whole-Slide Skeletal Muscle Image Segmentation through Deep Hierarchically Connected Networks". Journal of Healthcare Engineering 2019 (27 de junho de 2019): 1–10. http://dx.doi.org/10.1155/2019/5191630.
Texto completo da fonteSchmitt, Max, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, Markus Tiemann et al. "Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study". Journal of Medical Internet Research 23, n.º 2 (2 de fevereiro de 2021): e23436. http://dx.doi.org/10.2196/23436.
Texto completo da fonteSrivastava, Arunima, Chaitanya Kulkarni, Kun Huang, Anil Parwani, Parag Mallick e Raghu Machiraju. "Imitating Pathologist Based Assessment With Interpretable and Context Based Neural Network Modeling of Histology Images". Biomedical Informatics Insights 10 (janeiro de 2018): 117822261880748. http://dx.doi.org/10.1177/1178222618807481.
Texto completo da fonteRodner, Erik, Marcel Simon e Joachim Denzler. "Deep bilinear features for Her2 scoring in digital pathology". Current Directions in Biomedical Engineering 3, n.º 2 (7 de setembro de 2017): 811–14. http://dx.doi.org/10.1515/cdbme-2017-0171.
Texto completo da fonteKanavati, Fahdi, Naoki Hirose, Takahiro Ishii, Ayaka Fukuda, Shin Ichihara e Masayuki Tsuneki. "A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images". Cancers 14, n.º 5 (24 de fevereiro de 2022): 1159. http://dx.doi.org/10.3390/cancers14051159.
Texto completo da fonteFu, Zhibing, Qingkui Chen, Mingming Wang e Chen Huang. "Whole slide images classification model based on self-learning sampling". Biomedical Signal Processing and Control 90 (abril de 2024): 105826. http://dx.doi.org/10.1016/j.bspc.2023.105826.
Texto completo da fonteDimauro, Giovanni, Vitoantonio Bevilacqua, Pio Fina, Domenico Buongiorno, Antonio Brunetti, Sergio Latrofa, Michele Cassano e Matteo Gelardi. "Comparative Analysis of Rhino-Cytological Specimens with Image Analysis and Deep Learning Techniques". Electronics 9, n.º 6 (8 de junho de 2020): 952. http://dx.doi.org/10.3390/electronics9060952.
Texto completo da fonteGupta, Pushpanjali, Yenlin Huang, Prasan Kumar Sahoo, Jeng-Fu You, Sum-Fu Chiang, Djeane Debora Onthoni, Yih-Jong Chern et al. "Colon Tissues Classification and Localization in Whole Slide Images Using Deep Learning". Diagnostics 11, n.º 8 (2 de agosto de 2021): 1398. http://dx.doi.org/10.3390/diagnostics11081398.
Texto completo da fonteBhatt, Anant R., Amit Ganatra e Ketan Kotecha. "Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing". PeerJ Computer Science 7 (18 de fevereiro de 2021): e348. http://dx.doi.org/10.7717/peerj-cs.348.
Texto completo da fonteWetteland, Rune, Kjersti Engan, Trygve Eftestøl, Vebjørn Kvikstad e 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 de janeiro de 2020): 153303382094678. http://dx.doi.org/10.1177/1533033820946787.
Texto completo da fonteWang, Haiyue, Yuming Jiang, Bailiang Li, Yi Cui, Dengwang Li e Ruijiang Li. "Single-Cell Spatial Analysis of Tumor and Immune Microenvironment on Whole-Slide Image Reveals Hepatocellular Carcinoma Subtypes". Cancers 12, n.º 12 (28 de novembro de 2020): 3562. http://dx.doi.org/10.3390/cancers12123562.
Texto completo da fonteAcevedo Zamora, Marco Andres, e Balz S. Kamber. "Petrographic Microscopy with Ray Tracing and Segmentation from Multi-Angle Polarisation Whole-Slide Images". Minerals 13, n.º 2 (20 de janeiro de 2023): 156. http://dx.doi.org/10.3390/min13020156.
Texto completo da fontePENKIN, M. A., A. V. KHVOSTIKOV e A. S. KRYLOV. "AUTOMATED METHOD FOR OPTIMUM SCALE SEARCH WHEN USING TRAINED MODELS FOR HISTOLOGICAL IMAGE ANALYSIS". Программирование, n.º 3 (1 de maio de 2023): 49–55. http://dx.doi.org/10.31857/s0132347423030032.
Texto completo da fonteEl-Hossiny, Ahmed S., Walid Al-Atabany, Osama Hassan, Ahmed M. Soliman e 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.
Texto completo da fonteYoshida, Hiroshi, Yoshiko Yamashita, Taichi Shimazu, Eric Cosatto, Tomoharu Kiyuna, Hirokazu Taniguchi, Shigeki Sekine e Atsushi Ochiai. "Automated histological classification of whole slide images of colorectal biopsy specimens". Oncotarget 8, n.º 53 (12 de outubro de 2017): 90719–29. http://dx.doi.org/10.18632/oncotarget.21819.
Texto completo da fonteXu, Hongming, Sunho Park e Tae Hyun Hwang. "Computerized Classification of Prostate Cancer Gleason Scores from Whole Slide Images". IEEE/ACM Transactions on Computational Biology and Bioinformatics 17, n.º 6 (1 de novembro de 2020): 1871–82. http://dx.doi.org/10.1109/tcbb.2019.2941195.
Texto completo da fonteHassanpour, Saeed, Bruno Korbar, AndreaM Olofson, AllenP Miraflor, CatherineM Nicka, MatthewA Suriawinata, Lorenzo Torresani e AriefA Suriawinata. "Deep learning for classification of colorectal polyps on whole-slide images". Journal of Pathology Informatics 8, n.º 1 (2017): 30. http://dx.doi.org/10.4103/jpi.jpi_34_17.
Texto completo da fonteYoshida, Hiroshi, Taichi Shimazu, Tomoharu Kiyuna, Atsushi Marugame, Yoshiko Yamashita, Eric Cosatto, Hirokazu Taniguchi, Shigeki Sekine e Atsushi Ochiai. "Automated histological classification of whole-slide images of gastric biopsy specimens". Gastric Cancer 21, n.º 2 (2 de junho de 2017): 249–57. http://dx.doi.org/10.1007/s10120-017-0731-8.
Texto completo da fonteHyun-Cheol Park, Hyun-Cheol Park, Raman Ghimire Hyun-Cheol Park, Sahadev Poudel Raman Ghimire e Sang-Woong Lee Sahadev Poudel. "Deep Learning for Joint Classification and Segmentation of Histopathology Image". 網際網路技術學刊 23, n.º 4 (julho de 2022): 903–10. http://dx.doi.org/10.53106/160792642022072304025.
Texto completo da fonteXie, Peizhen, Ke Zuo, Jie Liu, Mingliang Chen, Shuang Zhao, Wenjie Kang e Fangfang Li. "Interpretable Diagnosis for Whole-Slide Melanoma Histology Images Using Convolutional Neural Network". Journal of Healthcare Engineering 2021 (1 de novembro de 2021): 1–7. http://dx.doi.org/10.1155/2021/8396438.
Texto completo da fonteHao, Fang, Xueyu Liu, Ming Li e Weixia Han. "Accurate Kidney Pathological Image Classification Method Based on Deep Learning and Multi-Modal Fusion Method with Application to Membranous Nephropathy". Life 13, n.º 2 (31 de janeiro de 2023): 399. http://dx.doi.org/10.3390/life13020399.
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