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pro vyhledávání: '"Weng, Tengjin"'
Optic disc and cup segmentation plays a crucial role in automating the screening and diagnosis of optic glaucoma. While data-driven convolutional neural networks (CNNs) show promise in this area, the inherent ambiguity of segmenting objects and backg
Externí odkaz:
http://arxiv.org/abs/2311.18496
Retinal disease is one of the primary causes of visual impairment, and early diagnosis is essential for preventing further deterioration. Nowadays, many works have explored Transformers for diagnosing diseases due to their strong visual representatio
Externí odkaz:
http://arxiv.org/abs/2311.11669
Autor:
Wang, Shuai, Weng, Tengjin, Wang, Jingyi, Shen, Yang, Zhao, Zhidong, Liu, Yixiu, Jiao, Pengfei, Cheng, Zhiming, Wang, Yaqi
Medical image segmentation annotations exhibit variations among experts due to the ambiguous boundaries of segmented objects and backgrounds in medical images. Although using multiple annotations for each image in the fully-supervised has been extens
Externí odkaz:
http://arxiv.org/abs/2311.10380
Autor:
Weng, Tengjin, Shen, Yang, Jin, Kai, Cheng, Zhiming, Li, Yunxiang, Zhang, Gewen, Wang, Shuai, Wang, Yaqi
Automatic segmentation of fluid in Optical Coherence Tomography (OCT) images is beneficial for ophthalmologists to make an accurate diagnosis. Although semi-supervised OCT fluid segmentation networks enhance their performance by introducing additiona
Externí odkaz:
http://arxiv.org/abs/2306.02582
Autor:
Weng, Tengjin, Shen, Yang, Jin, Kai, Wang, Yaqi, Cheng, Zhiming, Li, Yunxiang, Zhang, Gewen, Wang, Shuai
Publikováno v:
In Biomedical Signal Processing and Control August 2024 94
Automatic segmentation of fluid in OCT (Optical Coherence Tomography) images is beneficial for ophthalmologists to make an accurate diagnosis. Currently, data-driven convolutional neural networks (CNNs) have achieved great success in OCT fluid segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe8c279df4b29a08db598e1aa79411cc
http://arxiv.org/abs/2306.02582
http://arxiv.org/abs/2306.02582