In this study, a system that performs automatic detection of pre-cancerous lesions was performed using the convolutional neural networks (CNNs). In the training ...
Segmentation of Precursor Lesions in Cervical. Cancer Using Convolutional Neural Networks. Abdülkadir Albayrak. Bilgisayar Mühendisli˘gi Bölümü. Yıldız Teknik ...
Mar 9, 2023 · In this work, we proposed a robust DCNN for cervical cancer screening using whole-slide images (WSI) of ThinPrep cytologic test (TCT) slides ...
Dec 6, 2022 · The objective was to develop and validate a diagnosis system based on convolutional neural networks (CNN) that identifies cervical malignancies ...
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A cervical biopsy is classified as normal (no. CIN lesion) or one of three CIN grades: CIN1 (mild dysplasia), CIN2 (moderate dysplasia), or CIN3 (severe ...
In this study, a system that performs automatic detection of pre-cancerous lesions was performed using the convolutional neural networks (CNNs). In the training ...
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Segmentation of precursor lesions in cervical cancer using convolutional neural networks. In 25th Signal Processing and Communications Applications ...
Jul 8, 2023 · Our proposed CNN model is applied to single cervical cell images and classifies each cell into one of the five categories.
Aug 3, 2022 · In this paper, a cervical lesion segmentation model (CLS-Model) was proposed for cervical lesion region segmentation from colposcopic post-acetic-acid images.
The framework provides simultaneous nuclei instance segmentation and also predicts the type of nucleus class as belonging to normal and abnormal classes from ...