标题
Application of Artificial Intelligence in Pathology: Trends and Challenges
作者
关键词
-
出版物
Diagnostics
Volume 12, Issue 11, Pages 2794
出版商
MDPI AG
发表日期
2022-11-15
DOI
10.3390/diagnostics12112794
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- FETCH: A Deep Learning-Based Fog Computing and IoT Integrated Environment for Healthcare Monitoring and Diagnosis
- (2022) Parag Verma et al. IEEE Access
- Artificial Intelligence–Powered Spatial Analysis of Tumor-Infiltrating Lymphocytes as Complementary Biomarker for Immune Checkpoint Inhibition in Non–Small-Cell Lung Cancer
- (2022) Sehhoon Park et al. JOURNAL OF CLINICAL ONCOLOGY
- DigestPath: a Benchmark Dataset with Challenge Review for the Pathological Detection and Segmentation of Digestive-System
- (2022) Qian Da et al. MEDICAL IMAGE ANALYSIS
- Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications
- (2022) Yawen Wu et al. Cancers
- Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images
- (2021) Yajie Hu et al. Gastric Cancer
- Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images
- (2021) Yiping Jiao et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Histopathology classification and localization of colorectal cancer using global labels by weakly supervised deep learning
- (2021) Changjiang Zhou et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Data-efficient and weakly supervised computational pathology on whole-slide images
- (2021) Ming Y. Lu et al. Nature Biomedical Engineering
- A hybrid deep learning approach for gland segmentation in prostate histopathological images
- (2021) Massimo Salvi et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification
- (2021) Julia Höhn et al. EUROPEAN JOURNAL OF CANCER
- AI-based pathology predicts origins for cancers of unknown primary
- (2021) Ming Y. Lu et al. NATURE
- Deep learning in histopathology: the path to the clinic
- (2021) Jeroen van der Laak et al. NATURE MEDICINE
- Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning
- (2021) Sanghyuk Im et al. SENSORS
- Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer
- (2021) Yinxi Wang et al. CANCER RESEARCH
- Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI
- (2021) Andreas Holzinger et al. Information Fusion
- Learning from crowds in digital pathology using scalable variational Gaussian processes
- (2021) Miguel López-Pérez et al. Scientific Reports
- A generalized deep learning framework for whole-slide image segmentation and analysis
- (2021) Mahendra Khened et al. Scientific Reports
- Deep Learning-Based Multi-Class Classification of Breast Digital Pathology Images
- (2021) Weiming Mi et al. Cancer Management and Research
- BrcaSeg: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images
- (2021) Zixiao Lu et al. GENOMICS PROTEOMICS & BIOINFORMATICS
- DeepRePath: Identifying the Prognostic Features of Early-Stage Lung Adenocarcinoma Using Multi-Scale Pathology Images and Deep Convolutional Neural Networks
- (2021) Won Sang Shim et al. Cancers
- Transparency and the Black Box Problem: Why We Do Not Trust AI
- (2021) Warren J. von Eschenbach Philosophy and Technology
- Robust whole slide image analysis for cervical cancer screening using deep learning
- (2021) Shenghua Cheng et al. Nature Communications
- Prognostic value of tumor-infiltrating lymphocytes in patients with triple-negative breast cancer: a systematic review and meta-analysis
- (2020) Guoxuan Gao et al. BMC CANCER
- Artificial intelligence as the next step towards precision pathology
- (2020) B. Acs et al. JOURNAL OF INTERNAL MEDICINE
- Software‐assisted decision support in digital histopathology
- (2020) Ralf Huss et al. JOURNAL OF PATHOLOGY
- Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
- (2020) Wouter Bulten et al. LANCET ONCOLOGY
- Geospatial immune variability illuminates differential evolution of lung adenocarcinoma
- (2020) Khalid AbdulJabbar et al. NATURE MEDICINE
- Explainable AI (xAI) for Anatomic Pathology
- (2020) Akif B. Tosun et al. ADVANCES IN ANATOMIC PATHOLOGY
- Integrating spatial gene expression and breast tumour morphology via deep learning
- (2020) Bryan He et al. Nature Biomedical Engineering
- Style transfer strategy for developing a generalizable deep learning application in digital pathology
- (2020) Seo Jeong Shin et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- NuClick: A deep learning framework for interactive segmentation of microscopic images
- (2020) Navid Alemi Koohbanani et al. MEDICAL IMAGE ANALYSIS
- Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
- (2020) Jiawen Yao et al. MEDICAL IMAGE ANALYSIS
- Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer
- (2020) Zaneta Swiderska-Chadaj et al. Scientific Reports
- Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
- (2020) Nikhil Naik et al. Nature Communications
- Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology
- (2020) Jerome Y. Cheng et al. AMERICAN JOURNAL OF PATHOLOGY
- Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
- (2019) Jakob Nikolas Kather et al. PLOS MEDICINE
- A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images
- (2019) Zichao Guo et al. Scientific Reports
- Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
- (2019) Oscar G. F. Geessink et al. CELLULAR ONCOLOGY
- Artificial intelligence in digital pathology: A roadmap to routine use in clinical practice
- (2019) Richard Colling et al. JOURNAL OF PATHOLOGY
- Reporting of artificial intelligence prediction models
- (2019) Gary S Collins et al. LANCET
- Digital pathology and artificial intelligence
- (2019) Muhammad Khalid Khan Niazi et al. LANCET ONCOLOGY
- Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
- (2019) Mitko Veta et al. MEDICAL IMAGE ANALYSIS
- Regulating Artificial Intelligence for a Successful Pathology Future
- (2019) Timothy Craig Allen ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
- Computational Pathology Definitions, Best Practices, and Recommendations for Regulatory Guidance: A White Paper from the Digital Pathology Association
- (2019) Esther Abels et al. JOURNAL OF PATHOLOGY
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
- (2019) Gabriele Campanella et al. NATURE MEDICINE
- Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection
- (2019) Huangjing Lin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- BACH: Grand challenge on breast cancer histology images
- (2019) Guilherme Aresta et al. MEDICAL IMAGE ANALYSIS
- Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
- (2019) Kaustav Bera et al. Nature Reviews Clinical Oncology
- Key challenges for delivering clinical impact with artificial intelligence
- (2019) Christopher J. Kelly et al. BMC Medicine
- Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology
- (2019) Henrik Failmezger et al. CANCER RESEARCH
- Next generation diagnostic pathology: use of digital pathology and artificial intelligence tools to augment a pathological diagnosis
- (2019) Anil V. Parwani Diagnostic Pathology
- Generative adversarial network in medical imaging: A review
- (2019) Xin Yi et al. MEDICAL IMAGE ANALYSIS
- OUP accepted manuscript
- (2018) AMERICAN JOURNAL OF CLINICAL PATHOLOGY
- Quanti.us: a tool for rapid, flexible, crowd-based annotation of images
- (2018) Alex J. Hughes et al. NATURE METHODS
- Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
- (2018) Joel Saltz et al. Cell Reports
- Automated Classification of Skin Lesions: From Pixels to Practice
- (2018) Akhila Narla et al. JOURNAL OF INVESTIGATIVE DERMATOLOGY
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer
- (2018) David F. Steiner et al. AMERICAN JOURNAL OF SURGICAL PATHOLOGY
- A Practical Guide to Whole Slide Imaging: A White Paper From the Digital Pathology Association
- (2018) Mark D. Zarella et al. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Future-proofing pathology: the case for clinical adoption of digital pathology
- (2017) Bethany Jill Williams et al. JOURNAL OF CLINICAL PATHOLOGY
- Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session
- (2017) Marc D. Kohli et al. JOURNAL OF DIGITAL IMAGING
- Deep Learning in Medical Imaging: General Overview
- (2017) June-Goo Lee et al. KOREAN JOURNAL OF RADIOLOGY
- Gland segmentation in colon histology images: The glas challenge contest
- (2017) Korsuk Sirinukunwattana et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
- (2016) David N. Louis et al. ACTA NEUROPATHOLOGICA
- Interobserver Agreement Between Pathologists Assessing Tumor-Infiltrating Lymphocytes (TILs) in Breast Cancer Using Methodology Proposed by the International TILs Working Group
- (2016) Shannon K. Swisher et al. ANNALS OF SURGICAL ONCOLOGY
- Image analysis and machine learning in digital pathology: Challenges and opportunities
- (2016) Anant Madabhushi et al. MEDICAL IMAGE ANALYSIS
- Validation of Whole-Slide Imaging for Histolopathogical Diagnosis: Current State
- (2016) Adela Saco et al. PATHOBIOLOGY
- Validation of digital pathology imaging for primary histopathological diagnosis
- (2015) David R J Snead et al. HISTOPATHOLOGY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014
- (2014) R. Salgado et al. ANNALS OF ONCOLOGY
- Picture Archiving and Communication System (PACS) Implementation, Integration & Benefits in an Integrated Health System
- (2012) Bahar Mansoori et al. ACADEMIC RADIOLOGY
- The prognostic value of tumour-stroma ratio in triple-negative breast cancer
- (2012) A.M. Moorman et al. EJSO
- Whole slide images for primary diagnostics of gastrointestinal tract pathology: a feasibility study
- (2011) Shaimaa Al-Janabi et al. HUMAN PATHOLOGY
- Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future
- (2009) Ronald S. Weinstein et al. HUMAN PATHOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now