Deep learning models in medical image analysis

A deep learning model for breast ductal carcinoma in situ classification in whole slide images

(2022) Fahdi Kanavati et al.   VIRCHOWS ARCHIV

Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization

(2021) Panagiotis Papadimitroulas et al.   Physica Medica-European Journal of Medical Physics

A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy

(2021) Yoshiki Naito et al.   Scientific Reports

A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images

(2021) Fahdi Kanavati et al.   Scientific Reports

A deep learning approach for dental implant planning in cone-beam computed tomography images

(2021) Sevda Kurt Bayrakdar et al.   BMC MEDICAL IMAGING

Artificial intelligence in molecular imaging

(2021) Edward H. Herskovits   Annals of Translational Medicine

Deep learning for chest X-ray analysis: A survey

(2021) Erdi Çallı et al.   MEDICAL IMAGE ANALYSIS

QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study

(2021) Tae-Hoon Yong et al.   Scientific Reports

Digital pathology and artificial intelligence in translational medicine and clinical practice

(2021) Vipul Baxi et al.   MODERN PATHOLOGY

The Use and Performance of Artificial Intelligence in Prosthodontics: A Systematic Review

(2021) Selina A. Bernauer et al.   SENSORS

A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images

(2021) Fahdi Kanavati et al.   Scientific Reports

Breast Invasive Ductal Carcinoma Classification on Whole Slide Images with Weakly-Supervised and Transfer Learning

(2021) Fahdi Kanavati et al.   Cancers

Deep learning driven colorectal lesion detection in gastrointestinal endoscopic and pathological imaging

(2021) Yu-Wen Cai et al.   World Journal of Clinical Cases

Deep Learning Models for Poorly Differentiated Colorectal Adenocarcinoma Classification in Whole Slide Images Using Transfer Learning

(2021) Masayuki Tsuneki et al.   Diagnostics

Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours

(2020) Osamu Iizuka et al.   Scientific Reports

Computer‐aided diagnosis in the era of deep learning

(2020) Heang‐Ping Chan et al.   MEDICAL PHYSICS

Machine and deep learning methods for radiomics

(2020) Michele Avanzo et al.   MEDICAL PHYSICS

Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies

(2020) Patricia Raciti et al.   MODERN PATHOLOGY

Weakly-supervised learning for lung carcinoma classification using deep learning

(2020) Fahdi Kanavati et al.   Scientific Reports

Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning

(2020) Mingyu Chen et al.   npj Precision Oncology

Detecting caries lesions of different radiographic extension on bitewings using deep learning

(2020) Anselmo Garcia Cantu et al.   JOURNAL OF DENTISTRY

Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides

(2019) Arkadiusz Gertych et al.   Scientific Reports

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Predicting the Debonding of CAD/CAM Composite Resin Crowns with AI

(2019) S. Yamaguchi et al.   JOURNAL OF DENTAL RESEARCH

Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study

(2019) Falk Schwendicke et al.   JOURNAL OF DENTISTRY

Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries

(2019) Syed Javed et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Potential of artificial intelligence-assisted colonoscopy using an endocytoscope (with video)

(2018) Yuichi Mori et al.   Digestive Endoscopy

Deep Learning Localizes and Identifies Polyps in Real Time with 96% Accuracy in Screening Colonoscopy

(2018) Gregor Urban et al.   GASTROENTEROLOGY

Development of Image-enhanced Endoscopy of the Gastrointestinal Tract

(2018) Shiaw-Hooi Ho et al.   JOURNAL OF CLINICAL GASTROENTEROLOGY

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

(2018) Joel Saltz et al.   Cell Reports

Classification of Alzheimer’s Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images

(2018) Manhua Liu et al.   Frontiers in Neuroinformatics

Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

(2018) Jae-Hong Lee et al.   JOURNAL OF DENTISTRY

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

(2018) Yoshimasa Horie et al.   GASTROINTESTINAL ENDOSCOPY

Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy

(2018) Yan Zhu et al.   GASTROINTESTINAL ENDOSCOPY

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

(2018) Maciej A. Mazurowski et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Deep learning in medical imaging and radiation therapy

(2018) Berkman Sahiner et al.   MEDICAL PHYSICS

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

(2018) Yiming Ding et al.   RADIOLOGY

Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis

(2017) Xin Luo et al.   Journal of Thoracic Oncology

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Radiomics: the bridge between medical imaging and personalized medicine

(2017) Philippe Lambin et al.   Nature Reviews Clinical Oncology

Classifying and segmenting microscopy images with deep multiple instance learning

(2016) Oren Z. Kraus et al.   BIOINFORMATICS

Clinical role of fluorescence imaging in colorectal surgery – a review

(2016) Ido Mizrahi et al.   Expert Review of Medical Devices

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images

(2016) Phillip M. Cheng et al.   JOURNAL OF DIGITAL IMAGING

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Diagnostic value of high-resolution micro-endoscopy for the classification of colon polyps

(2016) Tao Tan   WORLD JOURNAL OF GASTROENTEROLOGY

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports

Deep learning

(2015) Yann LeCun et al.   NATURE

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

Central Pathology Review for Phase III Clinical Trials: The Enabling Effect of Virtual Microscopy

(2013) Pawel Mroz et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

(2011) Samuel G. Armato et al.   MEDICAL PHYSICS