Parotid, sub-mandibular and several glands are salivary glands and they are responsible of saliva secretion. Moreover, they can present diseases related to neoplastic or inflammatory lesions. The parotid is the biggest salivary gland and it is very important because it is often the site of neoplastic formations. The identification and the diagnosis of salivary disorders can be performed by physiological inspection correlated with the analysis of clinical data and images. In this context, diagnostic imaging is able to support early detection, helping physicians in clinical examination and diagnosis. Here, we present a semi-automatic tool for the annotation and integration of clinical images aiming to be a decision support system and to train automatic lesion classifiers.
A Tool for clinical data annotation of parotid neoplasia
Patrizia Vizza
;Giuseppe Tradigo;Pierangelo Veltri
2021-01-01
Abstract
Parotid, sub-mandibular and several glands are salivary glands and they are responsible of saliva secretion. Moreover, they can present diseases related to neoplastic or inflammatory lesions. The parotid is the biggest salivary gland and it is very important because it is often the site of neoplastic formations. The identification and the diagnosis of salivary disorders can be performed by physiological inspection correlated with the analysis of clinical data and images. In this context, diagnostic imaging is able to support early detection, helping physicians in clinical examination and diagnosis. Here, we present a semi-automatic tool for the annotation and integration of clinical images aiming to be a decision support system and to train automatic lesion classifiers.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.