Cargando…

Systematic Comparison of Heatmapping Techniques in Deep Learning in the Context of Diabetic Retinopathy Lesion Detection

PURPOSE: Heatmapping techniques can support explainability of deep learning (DL) predictions in medical image analysis. However, individual techniques have been mainly applied in a descriptive way without an objective and systematic evaluation. We investigated comparative performances using diabetic...

Descripción completa

Detalles Bibliográficos
Autores principales:	Van Craenendonck, Toon, Elen, Bart, Gerrits, Nele, De Boever, Patrick
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Association for Research in Vision and Ophthalmology 2020
Materias:	Special Issue
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774113/ https://www.ncbi.nlm.nih.gov/pubmed/33403156 http://dx.doi.org/10.1167/tvst.9.2.64

Ejemplares similares

Age and sex affect deep learning prediction of cardiometabolic risk factors from retinal images
por: Gerrits, Nele, et al.
Publicado: (2020)

Publisher Correction: Age and sex affect deep learning prediction of cardiometabolic risk factors from retinal images
por: Gerrits, Nele, et al.
Publicado: (2021)

Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy
por: Tseng, Vincent S., et al.
Publicado: (2020)

Weakly Supervised Sensitive Heatmap framework to classify and localize diabetic retinopathy lesions
por: Al-Mukhtar, Mohammed, et al.
Publicado: (2021)

Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography
por: Heisler, Morgan, et al.
Publicado: (2020)

Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images
por: Ludwig, Cassie A., et al.
Publicado: (2020)

Artificial Intelligence Software for Diabetic Eye Screening: Diagnostic Performance and Impact of Stratification
por: Peeters, Freya, et al.
Publicado: (2023)

HemI 2.0: an online service for heatmap illustration
por: Ning, Wanshan, et al.
Publicado: (2022)

Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy
por: Le, David, et al.
Publicado: (2020)

Non-uniform Label Smoothing for Diabetic Retinopathy Grading from Retinal Fundus Images with Deep Neural Networks
por: Galdran, Adrian, et al.
Publicado: (2020)

Heatmap3: an improved heatmap package with more powerful and convenient features
por: Zhao, Shilin, et al.
Publicado: (2014)

Artificial Intelligence in Retinopathy of Prematurity Diagnosis
por: Scruggs, Brittni A., et al.
Publicado: (2020)

Unboxing cluster heatmaps
por: Engle, Sophie, et al.
Publicado: (2017)

A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs
por: Fu, Huazhu, et al.
Publicado: (2020)

DeepRetina: Layer Segmentation of Retina in OCT Images Using Deep Learning
por: Li, Qiaoliang, et al.
Publicado: (2020)

Introduction to Machine Learning, Neural Networks, and Deep Learning
por: Choi, Rene Y., et al.
Publicado: (2020)

Multidimensional Functional and Structural Evaluation Reveals Neuroretinal Impairment in Early Diabetic Retinopathy
por: Joltikov, Katherine A., et al.
Publicado: (2017)

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening
por: Xie, Yuchen, et al.
Publicado: (2020)

Convolutional Neural Network Based on Fluorescein Angiography Images for Retinopathy of Prematurity Management
por: Lepore, Domenico, et al.
Publicado: (2020)

Motor point heatmap of the calf
por: Schriwer, Elias, et al.
Publicado: (2023)

Improving disease classification performance and explainability of deep learning models in radiology with heatmap generators
por: Watanabe, Akino, et al.
Publicado: (2022)

Quantifying Microvascular Abnormalities With Increasing Severity of Diabetic Retinopathy Using Optical Coherence Tomography Angiography
por: Nesper, Peter L., et al.
Publicado: (2017)

Keratoconus Screening Based on Deep Learning Approach of Corneal Topography
por: Kuo, Bo-I, et al.
Publicado: (2020)

Transcriptional profiling of microglia; current state of the art and future perspectives
por: Gerrits, Emma, et al.
Publicado: (2019)

Deep learning on fundus images detects glaucoma beyond the optic disc
por: Hemelings, Ruben, et al.
Publicado: (2021)

ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap
por: Metsalu, Tauno, et al.
Publicado: (2015)

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression
por: Thompson, Atalie C., et al.
Publicado: (2020)

Identifying Mouse Autoimmune Uveitis from Fundus Photographs Using Deep Learning
por: Sun, Jian, et al.
Publicado: (2020)

Make Interactive Complex Heatmaps in R
por: Gu, Zuguang, et al.
Publicado: (2021)

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review
por: Yanagihara, Ryan T., et al.
Publicado: (2020)

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms
por: Christopher, Mark, et al.
Publicado: (2020)

Microvasculature Segmentation and Intercapillary Area Quantification of the Deep Vascular Complex Using Transfer Learning
por: Lo, Julian, et al.
Publicado: (2020)

Clinical Evaluation of Melorheostosis in the Context of a Natural History Clinical Study
por: Jha, Smita, et al.
Publicado: (2019)

Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach
por: Yildiz, Veysi M., et al.
Publicado: (2020)

Point detection through multi-instance deep heatmap regression for sutures in endoscopy
por: Sharan, Lalith, et al.
Publicado: (2021)

COVID-19 severity detection using machine learning techniques from CT-images
por: Aswathy, A. L., et al.
Publicado: (2022)

Which deep learning model can best explain object representations of within-category exemplars?
por: Lee, Dongha
Publicado: (2021)

Shared decision‐making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters
por: Begley, Keith, et al.
Publicado: (2020)

Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms
por: Son, Jaemin, et al.
Publicado: (2020)

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images
por: Cheong, Haris, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_e0ortfqcrdf9qi70hbgvui4jma