Artykuły w czasopismach na temat „Whole slide images classification”
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Fell, 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 źródłaKallipolitis, Athanasios, Kyriakos Revelos i Ilias Maglogiannis. "Ensembling EfficientNets for the Classification and Interpretation of Histopathology Images". Algorithms 14, nr 10 (26.09.2021): 278. http://dx.doi.org/10.3390/a14100278.
Pełny tekst źródłaMahmood, F., C. J. Robbins, S. Perincheri i R. Torres. "Applying Deep Learning Cancer Subtyping Algorithms Trained on Physical Slides to Multiphoton Imaging of Unembedded Samples". American Journal of Clinical Pathology 158, Supplement_1 (1.11.2022): S117. http://dx.doi.org/10.1093/ajcp/aqac126.248.
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 źródłaXu, Hongming, Cheng Lu, Richard Berendt, Naresh Jha i Mrinal Mandal. "Automated analysis and classification of melanocytic tumor on skin whole slide images". Computerized Medical Imaging and Graphics 66 (czerwiec 2018): 124–34. http://dx.doi.org/10.1016/j.compmedimag.2018.01.008.
Pełny tekst źródłaTsuneki, Masayuki, i Fahdi Kanavati. "Weakly supervised learning for multi-organ adenocarcinoma classification in whole slide images". PLOS ONE 17, nr 11 (23.11.2022): e0275378. http://dx.doi.org/10.1371/journal.pone.0275378.
Pełny tekst źródłaZhao, Boxuan, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu i Wei Yang. "RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 3 (26.06.2023): 3570–78. http://dx.doi.org/10.1609/aaai.v37i3.25467.
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 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 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 źródłaTavolara, Thomas E., Metin N. Gurcan i M. Khalid Khan Niazi. "Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels". Cancers 14, nr 23 (24.11.2022): 5778. http://dx.doi.org/10.3390/cancers14235778.
Pełny tekst źródłaFeng, 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 źródłaPirovano, Antoine, Hippolyte Heuberger, Sylvain Berlemont, SaÏd Ladjal i Isabelle Bloch. "Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging". Machine Learning and Knowledge Extraction 3, nr 1 (22.02.2021): 243–62. http://dx.doi.org/10.3390/make3010012.
Pełny tekst źródłaWang, Ching-Wei, Sheng-Chuan Huang, Yu-Ching Lee, Yu-Jie Shen, Shwu-Ing Meng i Jeff L. Gaol. "Deep learning for bone marrow cell detection and classification on whole-slide images". Medical Image Analysis 75 (styczeń 2022): 102270. http://dx.doi.org/10.1016/j.media.2021.102270.
Pełny tekst źródłaMorkūnas, Mindaugas, Povilas Treigys, Jolita Bernatavičienė, Arvydas Laurinavičius i Gražina Korvel. "Machine Learning Based Classification of Colorectal Cancer Tumour Tissue in Whole-Slide Images". Informatica 29, nr 1 (1.01.2018): 75–90. http://dx.doi.org/10.15388/informatica.2018.158.
Pełny tekst źródłaCho, Kyung-Ok, Sung Hak Lee i Hyun-Jong Jang. "Feasibility of fully automated classification of whole slide images based on deep learning". Korean Journal of Physiology & Pharmacology 24, nr 1 (2020): 89. http://dx.doi.org/10.4196/kjpp.2020.24.1.89.
Pełny tekst źródłaSertel, O., J. Kong, H. Shimada, U. V. Catalyurek, J. H. Saltz i M. N. Gurcan. "Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development". Pattern Recognition 42, nr 6 (czerwiec 2009): 1093–103. http://dx.doi.org/10.1016/j.patcog.2008.08.027.
Pełny tekst źródłaYingli, Zhao, Ding Weilong, You Qinghua, Zhu Fenglong, Zhu Xiaojie, Zheng Kui i Liu Dandan. "Classification of whole slide images of breast histopathology based on spatial correlation characteristics". Journal of Image and Graphics 28, nr 4 (2023): 1134–45. http://dx.doi.org/10.11834/jig.211133.
Pełny tekst źródłaShakarami, Ashkan, Lorenzo Nicolè, Matteo Terreran, Angelo Paolo Dei Tos i Stefano Ghidoni. "TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images". Biomedical Signal Processing and Control 84 (lipiec 2023): 104812. http://dx.doi.org/10.1016/j.bspc.2023.104812.
Pełny tekst źródłaFu, Yan, Fanlin Zhou, Xu Shi, Long Wang, Yu Li, Jian Wu i Hong Huang. "Classification of adenoid cystic carcinoma in whole slide images by using deep learning". Biomedical Signal Processing and Control 84 (lipiec 2023): 104789. http://dx.doi.org/10.1016/j.bspc.2023.104789.
Pełny tekst źródłaSun, Shenghuan, Jacob Cleave, Linlin Wang, Fabienne Lucas, Laura Brown, Jacob Spector, Leonardo Boiocchi i in. "Deep Learning for Morphology-Based, Bone Marrow Cell Classification". Blood 142, Supplement 1 (28.11.2023): 2841. http://dx.doi.org/10.1182/blood-2023-172654.
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 źródłaHuang, Jin, Liye Mei, Mengping Long, Yiqiang Liu, Wei Sun, Xiaoxiao Li, Hui Shen i in. "BM-Net: CNN-Based MobileNet-V3 and Bilinear Structure for Breast Cancer Detection in Whole Slide Images". Bioengineering 9, nr 6 (20.06.2022): 261. http://dx.doi.org/10.3390/bioengineering9060261.
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 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 źródłaAhmad Fauzi, Mohammad Faizal, Wan Siti Halimatul Munirah Wan Ahmad, Mohammad Fareed Jamaluddin, Jenny Tung Hiong Lee, See Yee Khor, Lai Meng Looi, Fazly Salleh Abas i Nouar Aldahoul. "Allred Scoring of ER-IHC Stained Whole-Slide Images for Hormone Receptor Status in Breast Carcinoma". Diagnostics 12, nr 12 (8.12.2022): 3093. http://dx.doi.org/10.3390/diagnostics12123093.
Pełny tekst źródłaChe, Yuxuan, Fei Ren, Xueyuan Zhang, Li Cui, Huanwen Wu i Ze Zhao. "Immunohistochemical HER2 Recognition and Analysis of Breast Cancer Based on Deep Learning". Diagnostics 13, nr 2 (10.01.2023): 263. http://dx.doi.org/10.3390/diagnostics13020263.
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 źródłaCho, Joonyoung, Tae-Yeong Kwak, Sun Woo Kim i Hyeyoon Chang. "Abstract 5056: Automated Gleason grading of digitized frozen section prostate tissue slide images". Cancer Research 82, nr 12_Supplement (15.06.2022): 5056. http://dx.doi.org/10.1158/1538-7445.am2022-5056.
Pełny tekst źródłaWang, Pin, Pufei Li, Yongming Li, Jin Xu i Mingfeng Jiang. "Classification of histopathological whole slide images based on multiple weighted semi-supervised domain adaptation". Biomedical Signal Processing and Control 73 (marzec 2022): 103400. http://dx.doi.org/10.1016/j.bspc.2021.103400.
Pełny tekst źródłaKanavati, Fahdi, Shin Ichihara, Michael Rambeau, Osamu Iizuka, Koji Arihiro i Masayuki Tsuneki. "Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images". Technology in Cancer Research & Treatment 20 (1.01.2021): 153303382110279. http://dx.doi.org/10.1177/15330338211027901.
Pełny tekst źródłaHart, StevenN, William Flotte, AndrewP Norgan, KabeerK Shah, ZacharyR Buchan, Taofic Mounajjed i ThomasJ Flotte. "Classification of melanocytic lesions in selected and whole-slide images via convolutional neural networks". Journal of Pathology Informatics 10, nr 1 (2019): 5. http://dx.doi.org/10.4103/jpi.jpi_32_18.
Pełny tekst źródłaMukashyaka, Patience, Todd B. Sheridan, Ali Foroughi pour i Jeffrey H. Chuang. "Abstract B039: SAMPLER: Unsupervised representations of whole slide images for tumor phenotype prediction". Cancer Research 84, nr 3_Supplement_2 (1.02.2024): B039. http://dx.doi.org/10.1158/1538-7445.canevol23-b039.
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