The EMERALD team recently participated in the Fifteenth International Conference on Information, Intelligence, Systems and Applications (IISA 2024), held from July 17-20 at the Grand Arsenali in Chania, Crete, Greece. At this prestigious event, Dr. Ioannis D. Apostolopoulos presented two of our full papers.
The first paper, titled “Investigating the Agreement with Human Readers and Generalisation Capabilities of a Transfer Learning Approach for Predicting the Malignancy of Solitary Pulmonary Nodules in CT Screening,” explores how transfer learning can enhance the accuracy and generalizability of malignancy predictions in CT scans, aligning closely with expert human assessments.
The second paper, “Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype,” discusses the development of a prototype decision support system aimed at improving diagnostic accuracy for non-small cell lung cancer and coronary artery disease in nuclear medicine.
The conference provided an excellent platform to showcase our research advancements and to engage with fellow experts in the field.
