Deep Learning-Based Pixel-Wise Lesion Segmentation on Oral Squamous Cell Carcinoma Images

Oral squamous cell carcinoma is the most common oral cancer. In this paper, we present a performance analysis of four different deep learning-based pixel-wise methods for lesion segmentation on oral carcinoma images. Two diverse image datasets, one for training and another one for testing, are used...

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Bibliografiske detaljer

Principais autores:	Francesco Martino, Domenico D. Bloisi, Andrea Pennisi, Mulham Fawakherji, Gennaro Ilardi, Daniela Russo, Daniele Nardi, Stefania Staibano, Francesco Merolla
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2020-11-01
Serier:	Applied Sciences
Fag:	oral carcinoma medical image segmentation deep learning
Online adgang:	https://www.mdpi.com/2076-3417/10/22/8285
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