This paper presents a study of semi-supervised learning with split-attention models for cervical precancer classification using data derived from two large ...
This paper presents a study of semi-supervised learning with split-attention models for cervical precancer classification using data derived from two large ...
In this paper, we present a novel Semi-supervised Cervical Abnormal Cell detector (SCAC), which effectively utilizes the abundant unlabeled data.
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Feb 27, 2022 · We propose a method to ensure high accuracy in cervical cell classification with a small amount of labeled data by introducing manual features and a voting ...
Missing: Precancer | Show results with:Precancer
May 18, 2023 · Our model efficiently classified normal and abnormal images at low magnification with high reliability, making it a promising screening tool for cervical ...
Our experimental results on a cervical dysplasia classification dataset show that the proposed framework outperforms previous methods under a semi-supervised ...
Semi-supervised learning using ResNeSt50 architecture has been used in [13] to leverage unlabeled data, outperformed the model trained with transfer learning ...
An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening. Liming Hu, David Bell, Sameer Kiran Antani ...
This review article discusses cervical cancer and its screening processes, followed by the Deep Learning training process and the classification, segmentation, ...
Oct 15, 2024 · At present, deep learning algorithm exploration is primarily aimed at alleviating this issue. A semi- or weakly-supervised learning method, for ...