نتایج جستجو برای: classification lesion
تعداد نتایج: 583085 فیلتر نتایج به سال:
Automatic and accurate esophageal lesion classification segmentation is of great significance to clinically estimate the statuses diseases make suitable diagnostic schemes. Due individual variations visual similarities lesions in shapes, colors, textures, current clinical methods remain subject potential high-risk time-consumption issues. In this paper, we propose an Esophageal Lesion Network (...
Recent years have witnessed a rapid development of automated methods for skin lesion diagnosis and classification. Due to an increasing deployment such systems in clinics, it has become important develop more robust system towards various Out-of-Distribution (OOD) samples (unknown lesions conditions). However, the current deep learning models trained classification tend classify these OOD incor...
The application of artificial intelligence (AI) to various medical subfields has been a popular topic research in recent years. In particular, deep learning widely used and proven effective many cases. Topological data analysis (TDA)—a rising field at the intersection mathematics, statistics, computer science—offers new insights into data. this work, we develop novel architecture that call Topo...
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting
Skin lesions are caused due to multiple factors, like allergies, infections, exposition the sun, etc. These skin diseases have become a challenge in medical diagnosis visual similarities, where image classification is an essential task achieve adequate diagnostic of different lesions. Melanoma one best-known types vast majority cancer deaths. In this work, we propose ensemble improved convoluti...
Understanding structure-function relationships in the brain after stroke is reliant not only on the accurate anatomical delineation of the focal ischemic lesion, but also on previous infarcts, remote changes and the presence of white matter hyperintensities. The robust definition of primary stroke boundaries and secondary brain lesions will have significant impact on investigation of brain-beha...
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