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http://dx.doi.org/10.1111/1346-8138.16151 | DOI Listing |
Beijing Da Xue Xue Bao Yi Xue Ban
December 2024
Department of Urology, Beijing Jishuitan Hospital, Capital Medical Universitay, Beijing 100035, China.
Objective: To evaluate the surgical methods for treating distal urethral stricture.
Methods: The clinical data of 80 patients with distal urethral stricture in Beijing Jishuitan Hospital, Captial Medical University between January 2018 and December 2022 were retrospectively collected. Including male genital lichen sclerosus (MGLS) 33 cases, iatrogenic injury 25 cases, postoperative hypospadias 12 cases, and other causes such as trauma 10 cases.
Indian J Dermatol
October 2024
From the Department of Dermatology, Venereology and Leprosy, TNMC and BYL Nair Charitable Hospital, Mumbai, Maharashtra, India E-mail:
JMIR Dermatol
November 2024
Department of Dermatology, De La Salle Medical and Health Sciences Institute, Dasmariñas, Cavite, Philippines.
Plants (Basel)
November 2024
Team of National Ecosystem Survey, National Institute of Ecology, Keumgangro 1210, Seocheon 33657, Republic of Korea.
is one of the most ancient extant liverwort genera, within which the genetic diversity is quite high, whereas the morphological diversity, owing to the supposed stasis, is quite low. Unusually large plants of this genus were collected in North Vietnam and are described here as new-to-science species via an integrative approach. The two studied specimens do not reveal variability in the sequenced ITS1-2 nrDNA and L-F cpDNA loci, are clearly separated from other species by the level of genetic distances, and maintain a stable position on the reconstructed phylogenetic trees.
View Article and Find Full Text PDFBioengineering (Basel)
November 2024
State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Given the complexity of oral mucosal disease diagnosis and the limitations in the precision of traditional object detection methods, this study aims to develop a high-accuracy artificial intelligence-assisted diagnostic approach based on the SegFormer semantic segmentation model. This method is designed to automatically segment lesion areas in white-light images of oral mucosal diseases, providing objective and quantifiable evidence for clinical diagnosis. This study utilized a dataset of oral mucosal diseases provided by the Affiliated Stomatological Hospital of Zhejiang University School of Medicine, comprising 838 high-resolution images of three diseases: oral lichen planus, oral leukoplakia, and oral submucous fibrosis.
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