7 Result(s)
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Article
Minwoo Cho
Science, Humanities and Social Sciences, multidisciplinary
Science, multidisciplinary
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Article
Open AccessEnhanced multi-class pathology lesion detection in gastric neoplasms using deep learning-based approach and validation
This study developed a new convolutional neural network model to detect and classify gastric lesions as malignant, premalignant, and benign. We used 10,181 white-light endoscopy images from 2606 patients in an...
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Article
Open AccessDesign and validation of a wearable dynamometry system for knee extension-flexion torque measurement
Muscle strength assessments are vital in rehabilitation, orthopedics, and sports medicine. However, current methods used in clinical settings, such as manual muscle testing and hand-held dynamometers, often la...
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Article
Open AccessAutomated deep learning model for estimating intraoperative blood loss using gauze images
The intraoperative estimated blood loss (EBL), an essential parameter for perioperative management, has been evaluated by manually weighing blood in gauze and suction bottles, a process both time-consuming and...
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Open AccessDensity clustering-based automatic anatomical section recognition in colonoscopy video using deep learning
Recognizing anatomical sections during colonoscopy is crucial for diagnosing colonic diseases and generating accurate reports. While recent studies have endeavored to identify anatomical regions of the colon u...
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Article
Open AccessA portable articulated dynamometer for ankle dorsiflexion and plantar flexion strength measurement: a design, validation, and user experience study
Monitoring ankle strength is crucial for assessing daily activities, functional ability, and preventing lower extremity injuries. However, the current methods for measuring ankle strength are often unreliable ...
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Open AccessDevelopment and validation of a portable articulated dynamometry system to assess knee extensor muscle strength
Muscle strength assessment is important in predicting clinical and functional outcomes in many disorders. Manual muscle testing, although commonly used, offers suboptimal accuracy and reliability. Isokinetic d...
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Open AccessColonoscopic image synthesis with generative adversarial network for enhanced detection of sessile serrated lesions using convolutional neural network
Computer-aided detection (CADe) systems have been actively researched for polyp detection in colonoscopy. To be an effective system, it is important to detect additional polyps that may be easily missed by end...
