ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
Lung cancer tends to be detected at an advanced stage, resulting in a high patient mortality
rate. Thus, recent research has focused on early disease detection. Autofluorescence …
rate. Thus, recent research has focused on early disease detection. Autofluorescence …
The investigation of construction and clinical application of image recognition technology assisted bronchoscopy diagnostic model of lung cancer
Y Deng, Y Chen, L ** either lung cancer or colorectal cancer, the identification of
suspect lesions in endoscopic video is an important procedure. The physician performs an …
suspect lesions in endoscopic video is an important procedure. The physician performs an …
Autofluorescence bronchoscopy video analysis for lesion frame detection
Because of the significance of bronchial lesions as indicators of early lung cancer and
squamous cell carcinoma, a critical need exists for early detection of bronchial lesions …
squamous cell carcinoma, a critical need exists for early detection of bronchial lesions …
Multimodal clinical imaging assessment of the outcome in mild-to-moderate acne: a prospective study
A Kyrgidis, M Becker, V Zampeli, A Fauger, M Sayag… - Dermatology, 2019 - karger.com
Background: The quality of outcome assessment in acne studies has been either
subjective/insufficient or time consuming through the ordinary lesion counting. Objective: To …
subjective/insufficient or time consuming through the ordinary lesion counting. Objective: To …
[PDF][PDF] Fuzzy Hybrid Method for the Reconstruction of 3D Models Based on CT/MRI Data.
This research proposes a hybrid method for improving the segmentation accuracy of
reconstructed 3D models from computed tomography/magnetic resonance imaging …
reconstructed 3D models from computed tomography/magnetic resonance imaging …