Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
In the application of deep learning on optical coherence tomography (OCT) data, it is
common to train classification networks using 2D images originating from volumetric data …
common to train classification networks using 2D images originating from volumetric data …
[HTML][HTML] Transforming urinary stone disease management by artificial intelligence-based methods: a comprehensive review
A Anastasiadis, A Koudonas, G Langas… - Asian Journal of …, 2023 - Elsevier
Objective To provide a comprehensive review on the existing research and evidence
regarding artificial intelligence (AI) applications in the assessment and management of …
regarding artificial intelligence (AI) applications in the assessment and management of …
Percutaneous nephrolithotomy–The puncture
P Alken - Bju International, 2022 - Wiley Online Library
Objective To determine what importance is given to the puncture and assistive technologies
in percutaneous nephrolithotomy (PNL) in the current urological literature. Methods PubMed …
in percutaneous nephrolithotomy (PNL) in the current urological literature. Methods PubMed …
Epidural anesthesia needle guidance by forward-view endoscopic optical coherence tomography and deep learning
Epidural anesthesia requires injection of anesthetic into the epidural space in the spine.
Accurate placement of the epidural needle is a major challenge. To address this, we …
Accurate placement of the epidural needle is a major challenge. To address this, we …
SNR-Net OCT: brighten and denoise low-light optical coherence tomography images via deep learning
Low-light optical coherence tomography (OCT) images generated when using low input
power, low-quantum-efficiency detection units, low exposure time, or facing high-reflective …
power, low-quantum-efficiency detection units, low exposure time, or facing high-reflective …
Optical coherence tomography for multicellular tumor spheroid category recognition and drug screening classification via multi-spatial-superficial-parameter and …
Optical coherence tomography (OCT) is an ideal imaging technique for noninvasive and
longitudinal monitoring of multicellular tumor spheroids (MCTS). However, the internal …
longitudinal monitoring of multicellular tumor spheroids (MCTS). However, the internal …
Dimension‐based quantification of aging‐associated cerebral microvasculature determined by optical coherence tomography and two‐photon microscopy
Cerebral microvascular health is a key biomarker for the study of natural aging and
associated neurological diseases. Our aim is to quantify aging‐associated change of …
associated neurological diseases. Our aim is to quantify aging‐associated change of …
Enhancing epidural needle guidance using a polarization‐sensitive optical coherence tomography probe with convolutional neural networks
Epidural anesthesia helps manage pain during different surgeries. Nonetheless, the precise
placement of the epidural needle remains a challenge. In this study, we developed a probe …
placement of the epidural needle remains a challenge. In this study, we developed a probe …
Feasibility of the soft attention-based models for automatic segmentation of OCT kidney images
Clinically, optical coherence tomography (OCT) has been utilized to obtain the images of the
kidney's proximal convoluted tubules (PCTs), which can be used to quantify the …
kidney's proximal convoluted tubules (PCTs), which can be used to quantify the …
Computer‐aided Veress needle guidance using endoscopic optical coherence tomography and convolutional neural networks
During laparoscopic surgery, the Veress needle is commonly used in pneumoperitoneum
establishment. Precise placement of the Veress needle is still a challenge for the surgeon. In …
establishment. Precise placement of the Veress needle is still a challenge for the surgeon. In …