Deep Learning within a DICOM WSI Viewer for Histopathology
暂无分享,去创建一个
[1] Azamossadat Hosseini,et al. A mobile application based on efficient lightweight CNN model for classification of B-ALL cancer from non-cancerous cells: A design and implementation study , 2023, Informatics in Medicine Unlocked.
[2] M. B. Andersen,et al. Autonomous Chest Radiograph Reporting Using AI: Estimation of Clinical Impact. , 2023, Radiology.
[3] Mohammad Ali Heravi,et al. Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey , 2023, CAAI Transactions on Intelligence Technology.
[4] A. Bouridane,et al. Survey of Explainable AI Techniques in Healthcare , 2023, Sensors.
[5] B. Lindequist,et al. The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures , 2022, Future Gener. Comput. Syst..
[6] David B. A. Epstein,et al. TIAToolbox as an end-to-end library for advanced tissue image analytics , 2022, Communications Medicine.
[7] Lauren A. Fromont,et al. Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks , 2022, European Radiology Experimental.
[8] Z. Chen,et al. Artificial Intelligence in Anatomical Pathology: Building A Strong Foundation for Precision Medicine. , 2022, Human pathology.
[9] Ichiro Mori. Current Status of Whole Slide Image (WSI) Standardization in Japan , 2022, Acta Histochemica et Cytochemica.
[10] D. Fotiadis,et al. Data Ingestion for AI in Prostate Cancer , 2022, MIE.
[11] T. Kiehl,et al. The explainability paradox: Challenges for xAI in digital pathology , 2022, Future Gener. Comput. Syst..
[12] C. Costa,et al. DICOMization of Proprietary Files Obtained from Confocal, Whole-Slide, and FIB-SEM Microscope Scanners , 2022, Sensors.
[13] E. Neri,et al. CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools , 2022, Frontiers in Oncology.
[14] M. Loda,et al. Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology , 2021, Molecular Cancer Research.
[15] S. Imoto,et al. HEAL: an automated deep learning framework for cancer histopathology image analysis , 2021, Bioinform..
[16] F. Asadi,et al. Deep Convolutional Neural Network–Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study , 2021, Journal of medical Internet research.
[17] Samouil L. Farhi,et al. MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging , 2021, Nature Methods.
[18] Gloria Bueno,et al. Detection of Ki67 Hot-Spots of Invasive Breast Cancer Based on Convolutional Neural Networks Applied to Mutual Information of H&E and Ki67 Whole Slide Images , 2020, Applied Sciences.
[19] Ming Y. Lu,et al. Data-efficient and weakly supervised computational pathology on whole-slide images , 2020, Nature Biomedical Engineering.
[20] Ganapathy Krishnamurthi,et al. A generalized deep learning framework for whole-slide image segmentation and analysis , 2020, Scientific Reports.
[21] Lijun Liu,et al. An efficient architecture for medical high-resolution images transmission in mobile telemedicine systems , 2019, Comput. Methods Programs Biomed..
[22] José Luis Espinosa-Aranda,et al. Optimum web viewer application for DICOM whole slide image visualization in anatomical pathology , 2019, Comput. Methods Programs Biomed..
[23] Raphaël Marée,et al. Cytomine: Toward an Open and Collaborative Software Platform for Digital Pathology Bridged to Molecular Investigations , 2018, Proteomics. Clinical applications.
[24] Liron Pantanowitz,et al. Digital Imaging and Communications in Medicine Whole Slide Imaging Connectathon at Digital Pathology Association Pathology Visions 2017 , 2018, Journal of pathology informatics.
[25] Oscar Déniz-Suárez,et al. Automatic quantification of IHC stain in breast TMA using colour analysis , 2017, Comput. Medical Imaging Graph..
[26] Ramakrishnan Mukundan,et al. HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues , 2017, Histopathology.
[27] Peter Bankhead,et al. QuPath: Open source software for digital pathology image analysis , 2017, Scientific Reports.
[28] Pierre-Marie Martin,et al. Ki-67: level of evidence and methodological considerations for its role in the clinical management of breast cancer: analytical and critical review , 2011, Breast Cancer Research and Treatment.
[29] Christel Daniel-Le Bozec,et al. Standardizing the use of whole slide images in digital pathology , 2011, Comput. Medical Imaging Graph..
[30] Rajendra Singh,et al. Standardization in digital pathology: Supplement 145 of the DICOM standards , 2011, Journal of pathology informatics.
[31] Whole Slide Imaging: Current Applications and Future Directions , 2022 .
[32] Chenxi Li,et al. Clinical application of digital design combined with personalized three-dimensional printing technology in the treatment of deep oromaxillofacial-cervical tumors , 2021, Digital Medicine.
[33] V. K. Bairagi,et al. The Role of DICOM Technology in Telemedicine , 2011 .