AIMC Topic: Endoscopy

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Artificial intelligence for diagnosing gastric lesions under white-light endoscopy.

Surgical endoscopy Jul 25, 2022
BACKGROUND: The ability of endoscopists to identify gastric lesions is uneven. Even experienced endoscopists may miss or misdiagnose lesions due to heavy workload or fatigue or subtle changes in lesions under white-light endoscopy (WLE). This study a...
Humans Stomach Neoplasms Endoscopy Artificial Intelligence Retrospective Studies Early Detection of Cancer
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Transoral robotic excision of thyroglossal duct cyst using vestibular and sublingual incisions.

Head & neck Jul 20, 2022
With the extension of remote-access head and neck surgery to improve postoperative cosmetic outcomes, a robotic or endoscopic procedure was developed to excise thyroglossal duct cysts (TGDCs). Here, we present the operative procedure of a novel trans...
Thyroglossal Cyst Young Adult Adult Robotic Surgical Procedures Endoscopy Hyoid Bone Robotics Humans Female
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A New Robotic Endoscope Holder for Ear and Sinus Surgery with an Integrated Safety Device.

Sensors (Basel, Switzerland) Jul 11, 2022
In the field of sinus and ear surgery, and more generally in microsurgery, the surgeon is faced with several challenges. The operations are traditionally carried out under binocular loupes, which allows for the surgeon to use both hands for a microin...
Endoscopes Protective Devices Humans Endoscopy Robotics Robotic Surgical Procedures
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A deep learning based approach for automated plant disease classification using vision transformer.

Scientific reports Jul 7, 2022
Plant disease can diminish a considerable portion of the agricultural products on each farm. The main goal of this work is to provide visual information for the farmers to enable them to take the necessary preventive measures. A lightweight deep lear...
Neural Networks, Computer Attention Plant Diseases Endoscopy Deep Learning
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A parallel network utilizing local features and global representations for segmentation of surgical instruments.

International journal of computer assisted radiology and surgery Jun 10, 2022
PURPOSE: Automatic image segmentation of surgical instruments is a fundamental task in robot-assisted minimally invasive surgery, which greatly improves the context awareness of surgeons during the operation. A novel method based on Mask R-CNN is pro...
Humans Neural Networks, Computer Automation Surgical Instruments Endoscopy Image Processing, Computer-Assisted
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Robotics in therapeutic endoscopy (with video).

Gastrointestinal endoscopy Jun 3, 2022
Since its inception, endoscopy has evolved from a solely diagnostic procedure to an expanding therapeutic field within gastroenterology. The incorporation of robotics in gastroenterology initially addressed shortcomings of flexible endoscopes in natu...
Natural Orifice Endoscopic Surgery Endoscopes Endoscopic Mucosal Resection Humans Endoscopy Robotics Endoscopy, Gastrointestinal
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Intuitive endoscopic robot master device with image orientation correction.

The international journal of medical robotics + computer assisted surgery : MRCAS May 28, 2022
BACKGROUND: The camera of an endoscope is fixed to the device, and the image rotates together with the endoscope. This can lead to visual confusion for the user and incorrect image reading. The problem also occurs with endoscopic robots. Using a mast...
Equipment Design Humans Endoscopy Endoscopes Robotics
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Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing.

Sensors (Basel, Switzerland) May 23, 2022
Despite all the expectations for photoacoustic endoscopy (PAE), there are still several technical issues that must be resolved before the technique can be successfully translated into clinics. Among these, electromagnetic interference (EMI) noise, in...
Deep Learning Endoscopy Image Processing, Computer-Assisted Algorithms Animals Rats Electromagnetic Phenomena
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Targeting the low detector with artificial intelligence.

Endoscopy May 20, 2022
Artificial Intelligence Humans Endoscopy
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Effective high-to-low-level feature aggregation network for endoscopic image classification.

International journal of computer assisted radiology and surgery May 14, 2022
PURPOSE: The accuracy improvement in endoscopic image classification matters to the endoscopists in diagnosing and choosing suitable treatment for patients. Existing CNN-based methods for endoscopic image classification tend to use the deepest abstra...
Endoscopy Humans Image Processing, Computer-Assisted Neural Networks, Computer
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