TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images
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Title
TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images
Authors
Keywords
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Journal
Biomedical Signal Processing and Control
Volume 84, Issue -, Pages 104812
Publisher
Elsevier BV
Online
2023-03-12
DOI
10.1016/j.bspc.2023.104812
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Note: Only part of the references are listed.- Artificial intelligence to identify genetic alterations in conventional histopathology
- (2022) Didem Cifci et al. JOURNAL OF PATHOLOGY
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- (2022) Hameed Ullah Khan et al. Biomedical Signal Processing and Control
- Artificial intelligence and computational pathology
- (2021) Miao Cui et al. LABORATORY INVESTIGATION
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- (2021) Zachary DeVries et al. Spine Journal
- Machine Learning Methods for Histopathological Image Analysis: A Review
- (2021) Jonathan de Matos et al. Electronics
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- (2021) Ashkan Shakarami et al. Biomedical Signal Processing and Control
- Deep learning in histopathology: the path to the clinic
- (2021) Jeroen van der Laak et al. NATURE MEDICINE
- Diagnosing COVID-19 disease using an efficient CAD system
- (2021) Ashkan Shakarami et al. OPTIK
- The Utility of Unsupervised Machine Learning in Anatomic Pathology
- (2021) Ewen D McAlpine et al. AMERICAN JOURNAL OF CLINICAL PATHOLOGY
- The utility of color normalization for AI ‐based diagnosis of hematoxylin and eosin‐stained pathology images
- (2021) Jeffrey Boschman et al. JOURNAL OF PATHOLOGY
- Quality control stress test for deep learning-based diagnostic model in digital pathology
- (2021) Birgid Schömig-Markiefka et al. MODERN PATHOLOGY
- Machine learning analysis of TCGA cancer data
- (2021) Jose Liñares-Blanco et al. PeerJ Computer Science
- Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference
- (2021) Fernando Pérez-Bueno et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Federated learning for computational pathology on gigapixel whole slide images
- (2021) Ming Y. Lu et al. MEDICAL IMAGE ANALYSIS
- Multi-omic machine learning predictor of breast cancer therapy response
- (2021) Stephen-John Sammut et al. NATURE
- SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images
- (2021) Srijay Deshpande et al. MEDICAL IMAGE ANALYSIS
- Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight
- (2020) Shallu Sharma et al. JOURNAL OF DIGITAL IMAGING
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- (2020) Ashkan Shakarami et al. OPTIK
- The Classification of Gliomas Based on a Pyramid Dilated Convolution ResNet Model
- (2020) Zhenyu Lu et al. PATTERN RECOGNITION LETTERS
- Automated Invasive Ductal Carcinoma Detection Based Using Deep Transfer Learning with Whole-Slide Images
- (2020) Yusuf Celik et al. PATTERN RECOGNITION LETTERS
- Glioma Grading via Analysis of Digital Pathology Images Using Machine Learning
- (2020) Saima Rathore et al. Cancers
- The Application of Deep Learning in Cancer Prognosis Prediction
- (2020) Wan Zhu et al. Cancers
- Deep learning for survival outcomes
- (2020) Jon Arni Steingrimsson et al. STATISTICS IN MEDICINE
- Diagnostic performances of the Afirma gene sequencing classifier in comparison with the gene expression classifier: A meta‐analysis
- (2020) Huy Gia Vuong et al. CANCER CYTOPATHOLOGY
- An efficient image descriptor for image classification and CBIR
- (2020) Ashkan Shakarami et al. OPTIK
- Quality assessment of compressed and resized medical images based on pattern recognition using a convolutional neural network
- (2020) Ilona Urbaniak et al. Communications in Nonlinear Science and Numerical Simulation
- Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology
- (2020) Jerome Y. Cheng et al. AMERICAN JOURNAL OF PATHOLOGY
- Artificial intelligence, bias and clinical safety
- (2019) Robert Challen et al. BMJ Quality & Safety
- MultiCAM: Multiple Class Activation Mapping for Aircraft Recognition in Remote Sensing Images
- (2019) Kun Fu et al. Remote Sensing
- A Novel Deep Learning based Framework for the Detection and Classification of Breast Cancer Using Transfer Learning
- (2019) SanaUllah Khan et al. PATTERN RECOGNITION LETTERS
- Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models
- (2019) Junghwan Cho et al. JOURNAL OF DIGITAL IMAGING
- Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
- (2019) Jia Xu et al. HUMAN GENETICS
- Digital pathology and artificial intelligence
- (2019) Muhammad Khalid Khan Niazi et al. LANCET ONCOLOGY
- The impact of class imbalance in classification performance metrics based on the binary confusion matrix
- (2019) Amalia Luque et al. PATTERN RECOGNITION
- Convolutional Neural Networks for Recognition of Lymphoblast Cell Images
- (2019) Tatdow Pansombut et al. Computational Intelligence and Neuroscience
- Do no harm: a roadmap for responsible machine learning for health care
- (2019) Jenna Wiens et al. NATURE MEDICINE
- Multi-scale dilated convolution of convolutional neural network for crowd counting
- (2019) Yanjie Wang et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Impact of fully connected layers on performance of convolutional neural networks for image classification
- (2019) S.H. Shabbeer Basha et al. NEUROCOMPUTING
- Predicting pathological complete response by comparing MRI‐based radiomics pre‐ and postneoadjuvant radiotherapy for locally advanced rectal cancer
- (2019) Yuqiang Li et al. Cancer Medicine
- Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer
- (2019) Abhinav Kumar et al. INFORMATION SCIENCES
- Addressing Bias in Artificial Intelligence in Health Care
- (2019) Ravi B. Parikh et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- An integrated approach for medical abnormality detection using deep patch convolutional neural networks
- (2019) Pengcheng Xi et al. VISUAL COMPUTER
- Enhancement of Deep Learning in Image Classification Performance Using Xception with the Swish Activation Function for Colorectal Polyp Preliminary Screening
- (2019) Natinai Jinsakul et al. Mathematics
- Machine Learning Methods for Histopathological Image Analysis
- (2018) Daisuke Komura et al. Computational and Structural Biotechnology Journal
- From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge
- (2018) Peter Bandi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning
- (2018) Caglar Senaras et al. PLoS One
- Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification
- (2018) Kemal Adem et al. EXPERT SYSTEMS WITH APPLICATIONS
- Artificial intelligence-the third revolution in pathology
- (2018) Manuel Salto-Tellez et al. HISTOPATHOLOGY
- Artificial intelligence in healthcare
- (2018) Kun-Hsing Yu et al. Nature Biomedical Engineering
- QuPath: Open source software for digital pathology image analysis
- (2017) Peter Bankhead et al. Scientific Reports
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Bilinear interpolation theorems and applications
- (2013) Mieczysław Mastyło JOURNAL OF FUNCTIONAL ANALYSIS
- A brief history of pathology
- (2010) Jan G. van den Tweel et al. VIRCHOWS ARCHIV
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