Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Joint segmentation and quantification of chorioretinal biomarkers in optical coherence tomography scans: A deep learning approach
In ophthalmology, chorioretinal biomarkers (CRBMs) play a significant role in detecting,
quantifying, and ameliorating the treatment of chronic eye conditions. Optical coherence …
quantifying, and ameliorating the treatment of chronic eye conditions. Optical coherence …
Glaucoma detection from raw SD-OCT volumes: a novel approach focused on spatial dependencies
Background and objective: Glaucoma is the leading cause of blindness worldwide. Many
studies based on fundus image and optical coherence tomography (OCT) imaging have …
studies based on fundus image and optical coherence tomography (OCT) imaging have …
[HTML][HTML] Does real-time artificial intelligence-based visual pathology enhancement of three-dimensional optical coherence tomography scans optimise treatment …
Background/rationale Artificial intelligence (AI)-based clinical decision support tools, being
developed across multiple fields in medicine, need to be evaluated for their impact on the …
developed across multiple fields in medicine, need to be evaluated for their impact on the …
[HTML][HTML] VLFATRollout: Fully transformer-based classifier for retinal OCT volumes
Abstract Background and Objective: Despite the promising capabilities of 3D transformer
architectures in video analysis, their application to high-resolution 3D medical volumes …
architectures in video analysis, their application to high-resolution 3D medical volumes …
Spatial-aware transformer-GRU framework for enhanced glaucoma diagnosis from 3D OCT imaging
Glaucoma, a leading cause of irreversible blindness, necessitates early detection for
accurate and timely intervention to prevent irreversible vision loss. In this study, we present a …
accurate and timely intervention to prevent irreversible vision loss. In this study, we present a …
A framework for robust glaucoma detection: A confidence-aware deep uncertainty quantification approach with a comprehensive assessment for enhanced clinical …
Glaucoma poses a significant threat to public health worldwide, as it can result in irreversible
vision loss. Timely identification is vital for halting the progression of visual field …
vision loss. Timely identification is vital for halting the progression of visual field …
Predicting OCT biological marker localization from weak annotations
Recent developments in deep learning have shown success in accurately predicting the
location of biological markers in Optical Coherence Tomography (OCT) volumes of patients …
location of biological markers in Optical Coherence Tomography (OCT) volumes of patients …
Pretrained deep 2.5 D models for efficient predictive modeling from retinal OCT: a PINNACLE study report
In the field of medical imaging, 3D deep learning models play a crucial role in building
powerful predictive models of disease progression. However, the size of these models …
powerful predictive models of disease progression. However, the size of these models …
An Intestinal Tumors Detection Model Based on Feature Distillation With Self-Correction Mechanism and PathGAN
L Zhu, J Liu, D Zheng, Z Cao, F Miao, C Li, J He… - IEEE …, 2024 - ieeexplore.ieee.org
Small intestine tumors are gastrointestinal tumors with unclear clinical manifestations, and
the current diagnosis relies on expert analysis of abdominal Computed Tomography (CT) …
the current diagnosis relies on expert analysis of abdominal Computed Tomography (CT) …
Deep learning for ophthalmology using optical coherence tomography
The majority of recent deep learning research has been the reapplication of established
image-processing techniques to retinal images. Another prominent and substantially richer …
image-processing techniques to retinal images. Another prominent and substantially richer …