Classification and diagnosis of cervical lesions based on colposcopy images using deep fully convolutional networks: A man-machine comparison cohort study

Colposcopy is an important technique in the diagnosis of cervical cancer. The development of computer-aided diagnosis methods can mitigate the shortage of colposcopists and improve the accuracy and efficiency of colposcopy examinations in China. This study proposes the Dense-U-Net model for colposco...

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Váldodahkkit:	Binhua Dong, Huifeng Xue, Ye Li, Ping Li, Jiancui Chen, Tao Zhang, Lihua Chen, Diling Pan, Peizhong Liu, Pengming Sun
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	KeAi Communications Co. Ltd. 2025-01-01
Ráidu:	Fundamental Research
Fáttát:	Cervical lesions Dense-U-Net Colposcopic image Lesion segmentation Auxiliary diagnosis
Liŋkkat:	http://www.sciencedirect.com/science/article/pii/S2667325822004319
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