1st AI-INFN User Forum

Session

Tuesday afternoon: Part I

11 Jun 2024, 15:00

Room BP-2B (Plesso Berti Pichat)

14. Enhancing Nodule segmentation Utilizing Attention U-Net: Insights from LUNA-16 Dataset

Arman Zafaranchi (Istituto Nazionale di Fisica Nucleare)

11/06/2024, 15:00

Abstract
Lung cancer remains a significant global health challenge, with early detection playing a critical role in improving patient outcomes. Computed Tomography (CT) imaging has become a cornerstone in the early diagnosis and staging of lung cancer, allowing for the detection of pulmonary nodules that may indicate malignancy. However, accurately segmenting and characterizing these nodules...

8. Use of a UNet network for the identification of cavities inside mines

Mr Andrea Paccagnella (Istituto Nazionale di Fisica Nucleare Firenze)

11/06/2024, 15:25

Muon radiography is a technique that utilizes muons from cosmic rays to investigate otherwise hard-to-reach environments. This technique offers several advantages, including the absence of accelerators to generate particles that interact with the target under examination. It is a non-invasive technique, both for humans and the observed object. Furthermore, due to the muons' ability to...

9. Benchmarking image segmentation on AMD-Xilinx FPGAs

Ms Valentina Sisini (INFN and University of Ferrara)

11/06/2024, 15:50

In the context of scientific computing there is a growing interest
towards DNNs (Deep Neural Networks), which are being used in several
applications, spanning from medical images segmentation and
classification, to the on-line analysis of experimental data.
In addition to GPUs, FPGAs are also emerging as compute accelerators
promising higher energy-efficiency and lower latency, for the...