Zobrazeno 1 - 10
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pro vyhledávání: '"lésions"'
Autor:
Elfatimi, Elhoucine, Shah, Pratik
Deep learning models (DLMs) frequently achieve accurate segmentation and classification of tumors from medical images. However, DLMs lacking feedback on their image segmentation mechanisms, such as Dice coefficients and confidence in their performanc
Externí odkaz:
http://arxiv.org/abs/2412.20007
Assessing lesions and tracking their progression over time in brain magnetic resonance (MR) images is essential for diagnosing and monitoring multiple sclerosis (MS). Machine learning models have shown promise in automating the segmentation of MS les
Externí odkaz:
http://arxiv.org/abs/2412.10946
Automatic skin lesion segmentation methods based on fully convolutional networks (FCNs) are regarded as the state-of-the-art for accuracy. When there are, however, insufficient training data to cover all the variations in skin lesions, where lesions
Externí odkaz:
http://arxiv.org/abs/2412.10816
Autor:
Luu, Ha, Sisman, Mert, Kovanlikaya, Ilhami, Vu, Tam, Spincemaille, Pascal, Wang, Yi, Bagnato, Francesca, Gauthier, Susan, Nguyen, Thanh
Paramagnetic rim lesions (PRLs) are imaging biomarker of the innate immune response in MS lesions. QSM-RimNet, a state-of-the-art tool for PRLs detection on QSM, can identify PRLs but requires precise QSM lesion mask and does not provide rim segmenta
Externí odkaz:
http://arxiv.org/abs/2412.10492
Autor:
Sethi, Sahil, Reddy, Sai, Sakarvadia, Mansi, Serotte, Jordan, Nwaudo, Darlington, Maassen, Nicholas, Shi, Lewis
Bankart lesions, or anterior-inferior glenoid labral tears, are diagnostically challenging on standard MRIs due to their subtle imaging features-often necessitating invasive MRI arthrograms (MRAs). This study develops deep learning (DL) models to det
Externí odkaz:
http://arxiv.org/abs/2412.06717
Autor:
Yu, Lining, Yin, Mengmeng, Deng, Ruining, Liu, Quan, Yao, Tianyuan, Cui, Can, Guo, Junlin, Wang, Yu, Wang, Yaohong, Zhao, Shilin, Yang, Haichun, Huo, Yuankai
Segmenting glomerular intraglomerular tissue and lesions traditionally depends on detailed morphological evaluations by expert nephropathologists, a labor-intensive process susceptible to interobserver variability. Our group previously developed the
Externí odkaz:
http://arxiv.org/abs/2411.16961
The Demos Surgical Pathology Guides series presents in summary and visual form the basic knowledge base that every practicing pathologist needs every working day. Series volumes cover the major specialty areas of surgical pathology, and coverage emph
Autor:
Denis, Bernard1 (AUTHOR) bernard.denis@ch-colmar.fr
Publikováno v:
Hépato-Gastro & Oncologie Digestive. nov2024, Vol. 31 Issue 9, p915-926. 12p.
In the aftermath of the COVID-19 pandemic and amid accelerating climate change, emerging infectious diseases, particularly those arising from zoonotic spillover, remain a global threat. Mpox (caused by the monkeypox virus) is a notable example of a z
Externí odkaz:
http://arxiv.org/abs/2411.10888