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Segmentation of paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images through weakly supervised deep convolutional networks

https://doi.org/10.1016/j.cmpb.2023.107632

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jamaophthalmol.2013.4056openalex-snapshot

Paracentral Acute Middle Maculopathy

inferredcites →https://doi.org/10.1001/jamaophthalmol.2015.3949openalex-snapshot

Algorithm for the Measure of Vitreous Hyperreflective Foci in Optical Coherence Tomographic Scans of Patients With Diabetic Macular Edema

inferredcites →https://doi.org/10.1002/mp.13728openalex-snapshot

Hyper‐reflective foci segmentation in SD‐OCT retinal images with diabetic retinopathy using deep convolutional neural networks

inferredcites →https://doi.org/10.1002/mp.15848openalex-snapshot

Automatic segmentation of hyperreflective dots via focal priors and visual saliency

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot

U-Net: Convolutional Networks for Biomedical Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-93000-8_80openalex-snapshot

Automatic Detection and Characterization of Biomarkers in OCT Images

inferredcites →https://doi.org/10.1007/978-3-642-04271-3_79openalex-snapshot

Intra-retinal Layer Segmentation in Optical Coherence Tomography Using an Active Contour Approach

inferredcites →https://doi.org/10.1007/s00417-020-04826-1openalex-snapshot

Paracentral acute middle maculopathy—review of the literature

inferredcites →https://doi.org/10.1016/j.ajo.2018.07.031openalex-snapshot

Paracentral Acute Middle Maculopathy and the Ischemic Cascade Associated With Retinal Vascular Occlusion

inferredcites →https://doi.org/10.1016/j.ajo.2021.07.030openalex-snapshot

Paracentral Acute Middle Maculopathy and the Ischemic Cascade: Toward Interventional Management

inferredcites →https://doi.org/10.1016/j.ajoc.2022.101753openalex-snapshot

Parafoveal acute middle maculopathy (PAMM) in sickle cell disease after discontinuation of hydroxyurea

inferredcites →https://doi.org/10.1016/j.cmpb.2019.06.019openalex-snapshot

Automatic segmentation of hyperreflective foci in OCT images

inferredcites →https://doi.org/10.1016/j.compbiomed.2022.106467openalex-snapshot

TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images

inferredcites →https://doi.org/10.1016/j.ophtha.2008.12.039openalex-snapshot

Optical Coherence Tomographic Hyperreflective Foci

inferredcites →https://doi.org/10.1016/j.ophtha.2012.10.018openalex-snapshot

Progression of Intermediate Age-related Macular Degeneration with Proliferation and Inner Retinal Migration of Hyperreflective Foci

inferredcites →https://doi.org/10.1016/j.ophtha.2015.07.008openalex-snapshot

The Onion Sign in Neovascular Age-Related Macular Degeneration Represents Cholesterol Crystals

inferredcites →https://doi.org/10.1016/j.ophtha.2017.02.008openalex-snapshot

Automated Identification of Diabetic Retinopathy Using Deep Learning

inferredcites →https://doi.org/10.1016/j.ophtha.2020.09.025openalex-snapshot

Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning

inferredcites →https://doi.org/10.1016/j.oret.2021.01.003openalex-snapshot

Association of Acute Macular Neuroretinopathy or Paracentral Acute Middle Maculopathy with Sickle Cell Disease

inferredcites →https://doi.org/10.1038/s41467-019-13922-8openalex-snapshot

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

inferredcites →https://doi.org/10.1038/s41591-020-0867-7openalex-snapshot

Predicting conversion to wet age-related macular degeneration using deep learning

inferredcites →https://doi.org/10.1080/08164622.2021.1878832openalex-snapshot

Spectral-domain optical coherence tomography in paracentral acute middle maculopathy associated with vasopressor exposure

inferredcites →https://doi.org/10.1097/iae.0000000000001304openalex-snapshot

HYPERREFLECTIVE RETINAL SPOTS IN NORMAL AND DIABETIC EYES

inferredcites →https://doi.org/10.1097/icb.0000000000000784openalex-snapshot

PARACENTRAL ACUTE MIDDLE MACULOPATHY AFTER ENDOVASCULAR COIL EMBOLIZATION

inferredcites →https://doi.org/10.1097/icb.0000000000000846openalex-snapshot

PARACENTRAL ACUTE MIDDLE MACULOPATHY ASSOCIATED WITH IDIOPATHIC INTRACRANIAL HYPERTENSION

inferredcites →https://doi.org/10.1109/cvpr.2004.1314998openalex-snapshot

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot

You Only Look Once: Unified, Real-Time Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot

YOLO9000: Better, Faster, Stronger

inferredcites →https://doi.org/10.1109/iccv.2015.191openalex-snapshot

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

inferredcites →https://doi.org/10.1109/iccv.2015.203openalex-snapshot

Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation

inferredcites →https://doi.org/10.1109/jbhi.2019.2929842openalex-snapshot

Automated Quantification of Hyperreflective Foci in SD-OCT With Diabetic Retinopathy

inferredcites →https://doi.org/10.1109/tbme.2021.3115552openalex-snapshot

Joint Segmentation of Multi-Class Hyper-Reflective Foci in Retinal Optical Coherence Tomography Images

inferredcites →https://doi.org/10.1109/tmi.2006.871417openalex-snapshot

Automatic recovery of the optic nervehead geometry in optical coherence tomography

inferredcites →https://doi.org/10.1109/tmi.2008.923966openalex-snapshot

Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search

inferredcites →https://doi.org/10.1109/tmi.2010.2047023openalex-snapshot

Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula

inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/tvcg.2007.70590openalex-snapshot

Segmentation of Three-dimensional Retinal Image Data

inferredcites →https://doi.org/10.1111/aos.14353openalex-snapshot

Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning

inferredcites →https://doi.org/10.1111/aos.15237openalex-snapshot

Automated detection of hyperreflective foci in the outer nuclear layer of the retina

inferredcites →https://doi.org/10.1117/1.jmi.5.1.014002openalex-snapshot

Automated segmentation of hyperreflective foci in spectral domain optical coherence tomography with diabetic retinopathy

inferredcites →https://doi.org/10.1155/2021/6096017openalex-snapshot

Significance of Hyperreflective Foci as an Optical Coherence Tomography Biomarker in Retinal Diseases: Characterization and Clinical Implications

inferredcites →https://doi.org/10.1155/2021/8867570openalex-snapshot

Clinical Characteristics of Paracentral Acute Middle Maculopathy in Eyes with Retinal Vascular Occlusion Diseases in Chinese Patients

inferredcites →https://doi.org/10.1159/000342159openalex-snapshot

Hyperreflective Dots: A New Spectral-Domain Optical Coherence Tomography Entity for Follow-Up and Prognosis in Exudative Age-Related Macular Degeneration

inferredcites →https://doi.org/10.1167/iovs.04-0335openalex-snapshot

Macular Segmentation with Optical Coherence Tomography

inferredcites →https://doi.org/10.1167/iovs.10-5779openalex-snapshot

Small Dense Particles in the Retina Observable by Spectral-Domain Optical Coherence Tomography in Age-Related Macular Degeneration

inferredcites →https://doi.org/10.1167/iovs.15-17338openalex-snapshot

Correlation Between Hyperreflective Foci and Clinical Outcomes in Neovascular Age-Related Macular Degeneration After Switching to Aflibercept

inferredcites →https://doi.org/10.1167/iovs.17-21872openalex-snapshot

Activated Retinal Pigment Epithelium, an Optical Coherence Tomography Biomarker for Progression in Age-Related Macular Degeneration.

inferredcites →https://doi.org/10.1167/tvst.9.2.21openalex-snapshot

Fast and Automated Hyperreflective Foci Segmentation Based on Image Enhancement and Improved 3D U-Net in SD-OCT Volumes with Diabetic Retinopathy

inferredcites →https://doi.org/10.1186/1742-2094-8-173openalex-snapshot

Adaptive Müller cell responses to microglial activation mediate neuroprotection and coordinate inflammation in the retina

inferredcites →https://doi.org/10.1186/s12886-019-1168-0openalex-snapshot

Hyperreflective foci in OCT image as a biomarker of poor prognosis in diabetic macular edema patients treating with Conbercept in China

inferredcites →https://doi.org/10.1364/boe.10.004340openalex-snapshot

Automated segmentation of peripapillary retinal boundaries in OCT combining a convolutional neural network and a multi-weights graph search

inferredcites →https://doi.org/10.1364/boe.2.001743openalex-snapshot

Automated segmentation by pixel classification of retinal layers in ophthalmic OCT images

inferredcites →https://doi.org/10.1364/boe.392648openalex-snapshot

Semi-supervised deep learning based 3D analysis of the peripapillary region

inferredcites →https://doi.org/10.1364/boe.467623openalex-snapshot

Depth-resolved visualization and automated quantification of hyperreflective foci on OCT scans using optical attenuation coefficients

inferredcites →https://doi.org/10.1364/boe.7.002888openalex-snapshot

Learning layer-specific edges for segmenting retinal layers with large deformations

inferredcites →https://doi.org/10.1364/oe.18.014730openalex-snapshot

Robust segmentation of intraretinal layers in the normal human fovea using a novel statistical model based on texture and shape analysis

inferredcites →https://doi.org/10.1364/oe.18.019413openalex-snapshot

Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation

inferredcites →https://doi.org/10.1371/journal.pone.0272318openalex-snapshot

Hyper-reflective retinal foci as possible in vivo imaging biomarker of microglia activation in von Hippel-Lindau disease

inferredcites →https://doi.org/10.22608/apo.201857openalex-snapshot

Retinal Vascular Diseases in the Asia-Pacific: Shifting Paradigms for Management

inferredcites →https://doi.org/10.3389/fimmu.2021.613051openalex-snapshot

OCT Hyperreflective Retinal Foci in Diabetic Retinopathy: A Semi-Automatic Detection Comparative Study

inferredcites →https://doi.org/10.3389/fmed.2021.688986openalex-snapshot

Algorithm for Detection and Quantification of Hyperreflective Dots on Optical Coherence Tomography in Diabetic Macular Edema

inferredcites →https://doi.org/10.3390/app10165701openalex-snapshot

Automatic Segmentation of Macular Edema in Retinal OCT Images Using Improved U-Net++

inferredcites →https://doi.org/10.3390/jcm11226646openalex-snapshot

Characterization of Hyperreflective Dots by Structural and Angiographic Optical Coherence Tomography in Patients with Diabetic Retinopathy and Healthy Subjects

inferredcites →https://doi.org/10.3390/jcm11247404openalex-snapshot

Automated Region of Interest Selection Improves Deep Learning-Based Segmentation of Hyper-Reflective Foci in Optical Coherence Tomography Images

inferredcites →https://doi.org/10.4103/ijo.ijo_1249_18openalex-snapshot

OCT angiography features of paracentral acute middle maculopathy

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4665554openalex-extracted

3SGAN: Semisupervised and Multitask GAN for Stain Normalization and Nuclei Segmentation of Histopathological Images

inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108229openalex-snapshot

Point based weakly semi-supervised biomarker detection with cross-scale and label assignment in retinal OCT images

inferred← citeshttps://doi.org/10.1016/j.dib.2024.111121openalex-snapshot

Dataset for identifying paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images

inferred← citeshttps://doi.org/10.1016/j.hest.2025.04.003openalex-snapshot

Transformer-based weakly supervised intracerebral hemorrhage segmentation using image-level labels

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132282openalex-snapshot

Deep learning in ophthalmic image analysis: A task-driven review of segmentation, diagnosis, and progress prediction

inferred← citeshttps://doi.org/10.3389/fmed.2024.1489139openalex-snapshot

In-depth analysis of research hotspots and emerging trends in AI for retinal diseases over the past decade

inferred← citeshttps://doi.org/10.3788/lop251041openalex-snapshot

基于双态标签的光学相干层析成像图像弱监督脉络膜血管分割

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