Francesca Pizzorni Ferrarese

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Liver cancer is the fifth most commonly diagnosed cancer and the third most common cause of death from cancer worldwide; moreover the liver is the second most commonly involved organ by metastatic disease. A precise analysis of the lesions would help in the staging of the tumor and in the evaluation of the possible applicable therapies. In this paper we(More)
Brain metastases are the most feared complication in the systemic progression of neoplastic disease, and the most frequent brain ‘tumors’, with an incidence 10 times higher than primary lesions. Autoptic studies have shown that the neoplasms with the highest incidence of brain metastases, in order of decreasing frequency, are the lung, breast, kidney and(More)
In order to better predict and follow treatment responses in cancer patients, there is growing interest in noninvasively characterizing tumor heterogeneity based on MR images possessing different contrast and quantitative information. This requires mechanisms for integrating such data and reducing the data dimensionality to levels amenable to interpretation(More)
Safety and accuracy are two important keywords when dealing with life-critical systems. In particular, these two aspects have to be taken into careful attention in medical image segmentation: this in fact represents the first step in the process that starts with the image acquisition and proceeds to the diagnosis step and therapy definition. Therefore it is(More)
Validation and accuracy assessment are the main bottlenecks preventing the adoption of image processing algorithms in the clinical practice. In the classical approach, a posteriori analysis is performed through objective metrics. In this work, a different approach based on Petri nets is proposed. The basic idea consists in predicting the accuracy of a given(More)
Accurate staging of lymph nodes relies mainly on surgical exploration and manual palpation. We present a new non-invasive diagnostic approach: simulated palpation through virtual laparoscopic instruments. We set up a diagnostic process to extract lymph nodes shape and position from CTs and to analyze the trend of pixels intensities to determine tissue(More)
Radiotherapy-related mucositis is the most frequent complication in the patients submitted to irradiation for head and neck cancers. Many such patients may develop mycotic infections which may lead to treatment discontinuation, with possible consequences on the local control of these cancers. In this study, we investigated the efficacy of fluconazole in(More)
Radiotherapy patients are at risk of developing leukopenia, which risk depends on the irradiated volume, the rate of irradiated bone marrow and the radiation dose. Radiogenic leukopenia may cause radiotherapy drop-out, with consequent effects, on local tumor control and clinical outcome. The introduction of granulocyte growth factors, such as filgrastim,(More)