AIMC Topic: Endoscopy

Clear Filters Showing 31 to 40 of 315 articles

Enhancing nasal endoscopy: Classification, detection, and segmentation of anatomic landmarks using a convolutional neural network.

International forum of allergy & rhinology Jun 10, 2024
A convolutional neural network (CNN)-based model can accurately localize and segment turbinates in images obtained during nasal endoscopy (NE). This model represents a starting point for algorithms that comprehensively interpret NE findings.
Humans Neural Networks, Computer Anatomic Landmarks Nose Turbinates Algorithms Endoscopy
View on PubMed DOI

Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.

BMC medical informatics and decision making May 29, 2024
BACKGROUND: Nasal polyps and inverted papillomas often look similar. Clinically, it is difficult to distinguish the masses by endoscopic examination. Therefore, in this study, we aimed to develop a deep learning algorithm for computer-aided diagnosis...
Adult Endoscopy Humans Diagnosis, Computer-Assisted Deep Learning Diagnosis, Differential Male Middle Aged Papilloma, Inverted Nose Neoplasms Nasal Polyps Nasal Cavity
View on PubMed DOI

Self-Supervised Lightweight Depth Estimation in Endoscopy Combining CNN and Transformer.

IEEE transactions on medical imaging May 2, 2024
In recent years, an increasing number of medical engineering tasks, such as surgical navigation, pre-operative registration, and surgical robotics, rely on 3D reconstruction techniques. Self-supervised depth estimation has attracted interest in endos...
Humans Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Endoscopy
View on PubMed DOI

Endoscopic surgical field clarity index: An artificial intelligence-based measure of transnasal endoscopic surgical field quality.

International forum of allergy & rhinology Apr 22, 2024
Clear visualization during transnasal endoscopic surgery (TNES) is crucial for safe, efficient surgery. The endoscopic surgical field clarity index (ESFCI) is an artificial intelligence-enabled measure of surgical field quality. The ESFCI allows rese...
Humans Artificial Intelligence Natural Orifice Endoscopic Surgery Endoscopy Nose
View on PubMed DOI

A Swin transformer encoder-based StyleGAN for unbalanced endoscopic image enhancement.

Computers in biology and medicine Apr 16, 2024
With the rapid development of artificial intelligence, automated endoscopy-assisted diagnostic systems have become an effective tool for reducing the diagnostic costs and shortening the treatment cycle of patients. Typically, the performance of these...
Humans Stomach Neoplasms Endoscopy Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Image Enhancement
View on PubMed DOI

EndoViT: pretraining vision transformers on a large collection of endoscopic images.

International journal of computer assisted radiology and surgery Apr 3, 2024
PURPOSE: Automated endoscopy video analysis is essential for assisting surgeons during medical procedures, but it faces challenges due to complex surgical scenes and limited annotated data. Large-scale pretraining has shown great success in natural l...
Large Language Models Diagnostic Imaging Minimally Invasive Surgical Procedures Thoracic Surgery, Video-Assisted Automation Deep Learning Natural Language Processing Humans Endoscopy
View on PubMed DOI

Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images.

PloS one Mar 13, 2024
Nasal endoscopy is routinely performed to distinguish the pathological types of masses. There is a lack of studies on deep learning algorithms for discriminating a wide range of endoscopic nasal cavity mass lesions. Therefore, we aimed to develop an ...
Deep Learning Endoscopy Nasal Cavity Humans Neoplasms Algorithms
View on PubMed DOI

Enhancing precision and efficiency: harnessing robotics and artificial intelligence for endoscopic and surgical advancements.

International journal of surgery (London, England) Feb 1, 2024
Humans Robotics Artificial Intelligence Endoscopy
View on PubMed DOI

Preliminary report on a novel technique for endoscopic transaxillary thyroidectomy: a case-control study.

International journal of surgery (London, England) Feb 1, 2024
BACKGROUND: Endoscopic transaxillary approaches to thyroidectomy have been well described and gasless transaxillary endoscopic thyroidectomy (GTET) is the most popular method. However, this require a single long axillary incision which is longer than...
Robotics Humans Endoscopy Thyroidectomy Case-Control Studies Thyroid Gland Thyroid Neoplasms
View on PubMed DOI

Diagnostic performance of deep-learning-based virtual chromoendoscopy in gastric neoplasms.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association Jan 19, 2024
BACKGROUNDS: Cycle-consistent generative adversarial network (CycleGAN) is a deep neural network model that performs image-to-image translations. We generated virtual indigo carmine (IC) chromoendoscopy images of gastric neoplasms using CycleGAN and ...
Indigo Carmine Endoscopy Humans Deep Learning Stomach Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals