Researchers from the University of Donja Gorica presented a deep learning model for automated tuberculosis detection from chest X-rays at IEEE IT2025 conference. Using a convolutional neural network (CNN), the model classifies images as normal or tuberculosis-positive with an impressive 97.55% accuracy. This breakthrough has the potential to speed up diagnoses, reduce radiologist workload, and improve early detection rates, particularly in low-resource healthcare settings. By leveraging AI for fast and reliable medical imaging analysis, this research highlights the growing role of computer vision in modern healthcare and its ability to enhance efficiency and accuracy in disease detection.
ABSTRACT – This article presents a deep learning model that enables fast and accurate diagnosis of tuberculosis based on chest X-rays. The developed model uses convolutional neural network that enable the automatic classification of chest x-rays into one of two classes: Normal or Tuberculosis with a high degree of accuracy. The model achieved an accuracy of 97.55% on the test data set, indicating its potential to open new perspectives for medical professionals in establishing a tuberculosis diagnosis. This model can significantly speed up the diagnostic process, reducing the workload of medical workers and increasing their productivity in the fight against tuberculosis, one of the most common lung diseases.
At the IT2025 IEEE Conference in Žabljak, researchers from the University of Donja Gorica presented a study on voice cloning and text-to-speech (TTS) technology for cultural heritage preservation. Their research compared state-of-the-art AI models, including Realtime Voice Cloning (RVC), Tortoise AI, Bark, and Coqui AI, to evaluate how small, high-quality datasets can produce more accurate and natural-sounding speech than large, unstructured ones. The study highlights the potential of AI in preserving the Montenegrin language and oral traditions, enabling the creation of audiobooks, digital archives, and interactive experiences. This research paves the way for more accessible educational resources and enhanced cultural engagement using AI-driven speech synthesis.
ABSTRACT – This research presents a comparative analysis of modern voice cloning systems, focusing on their ability to generate high-quality speech from limited training data. The paper aims to demonstrate that carefully curated smaller datasets can produce superior results to larger, less structured datasets. The investigation of multiple state-of-the-art models, including Realtime Voice Cloning (RVC), Tortoise AI, Bark, and Coqui AI, establishes optimal data preparation protocols and identifies critical factors in training data quality, with particular emphasis on applications for the Montenegrin language and cultural preservation.
At the IT2025 IEEE Conference in Žabljak, researchers from the University of Donja Gorica presented their latest study on using Artificial Intelligence (AI) for breast cancer diagnostics. The research explores the application of deep learning models, ResNet152 and DenseNet121, to analyze mammographic images. Beyond the clinical results, the study emphasizes the implications of leveraging high-performance computing (HPC) infrastructure to optimize model training and evaluation. By porting the experimental setup to HPC resources, the research opens pathways for faster development cycles, the exploration of more complex architectures, and scalability for real-world implementation.
ABSTRACT – Artificial Intelligence is rapidly advancing the medical field by providing innovative disease diagnosis, treatment, and research approaches. This study explores the application of artificial intelligence in breast cancer diagnostics, focusing on using convolutional neural networks and deep learning to analyze mammographic images. ResNet152 and DenseNet121 models were used to classify malignant changes, achieving AUC scores exceeding 0.9, demonstrating their clinical utility. The research emphasizes how artificial intelligence can enhance screening efficiency, expedite diagnostic processes, and facilitate personalized treatment approaches. Ethical considerations, including patient safety and the transparency of artificial intelligence systems, were also analyzed. The findings underscore the potential of artificial intelligence to transform diagnostic procedures for breast cancer and highlight the importance of further research to integrate these technologies into clinical practice.
Following FiveG’s participation in the EuroCC2 event at the 29th IT Conference and the initial meeting where the preparation of the technical aspects of the identified projects for HPC implementation was agreed upon, we arranged a follow-up meeting at the Faculty of Electrical Engineering in Podgorica, where we have presented the specific HPC resources available to the FiveG team within the EuroCC2 project, as well as the process for applying for these resources.
The follow up consultation with FiveG and discussion on applying for HPC access grant
The meeting was attended by Ivan Šoć (CEO of the FiveG Group) and Marina Braletić (Project Manager), who, after the presentation and clarification of details regarding the resources and application process, expressed interest in applying to Benchmark Call for using the resources for three months in order to develop and test the identified applications. The NCC Montenegro team from UoM (Enis Kočan and Božo Krstajić) recommended specific resources, provided guidance on the application form to be completed, and highlighted key details essential for the application process. It was agreed that FiveG would prepare the application by the next cut-off date (April 1, 2025) and that the HPC NCC Montenegro team would provide them with all necessary assistance in this regard.
The EuroCC4SEE consortium, consisting of representatives from NCC Serbia, NCC Montenegro, NCC North Macedonia, NCC Turkey, and NCC Bosnia and Herzegovina, gathered for an F2F meeting during the IT IEEE Conference in Žabljak, Montenegro. The meeting aimed to enhance regional collaboration, coordinate training activities, and maximize the impact of NCC’s regional events to promote HPC/AI technologies and advancements across Southeast Europe.
Click to watch video from IT2025
Each NCC shared updates on ongoing projects, collaborative opportunities, and strategic directions, including: developing SME and Startup Ecosystems; focusing on the digitally mature IT sector, PoC prioritization using EuroHPC and national computing infrastructures, enhancing HPC engagement in academia etc.
EuroCC2 and EuroCC4SEE group photo from Feb 20th
The meeting also explored common activities and future initiatives driving the success of EuroCC4SEE, like organizing an SME training series, based on a cross-border survey on SME training needs; hosting large-scale events at the intersection of academia and industry interests and efforts; developing joint PoCs across diverse sectors using regional expertise and resources, investigating service portfolio management system; mobilizing joint efforts to high-impact EU projects etc.
EuroCC4SEE F2F meeting on 21 Feb
By leveraging strategic conferences, collaborative training programs, and joint project initiatives, EuroCC4SEE continues to empower the SEE region to embrace the future of HPC/AI-driven innovations and growth.
EuroCC4SEE NCC representatives took part in the workshop activities on 20 Ffeb
The EuroCC2 and EuroCC4SEE were successfully showcased during the 29th IT IEEE Conference in Žabljak, bringing together national and regional HPC/AI experts, facilitating networking and matchmaking opportunities between academia and industry, and effectively aligning HPC/AI technologies, trends, and innovations with the interests of young researchers and industry practitioners.
The Project Trade fair took place during the first day of the conference (19 Feb)EuroCC2 and EuroCC4SEE were presented at the Project Trade Fair at IT2025
On 19 Feb, the EuroCC2/EuroCC4SEE (Digital Europe) project was presented at the Project Trade Fair, highlighting the NCC service and training portfolio, EuroHPC supercomputing opportunities, and HPC/AI benefits for research excellence and industry competitiveness. Success Stories were shared, illustrating how HPC and AI are driving innovations across various industry sectors and research domains. Projects AI-AGE and GenAI-HPC4WB were also featured at the fair.
NCC Montenegro team was moderating the workshops on the second day
During the second day, the HPC for Research Innovation session showcased the successful integration of HPC-computational resources and AI-intelligent algorithms into research infrastructures, enhancing scientific outcomes. The session featured a series of conference papers that addressed real-life challenges and HPC/AI-powered applications. The sessions also emphasize the importance of capacity building and competency development in high-demand, tech-driven careers. The focus on skill development is crucial for preparing students for advanced research roles or industry positions powered by HPC/AI technologies.
EuroCC4SEE NCCs participated in the worskhop activities on the second day (20 Feb)Reserarchers and business representatives showcased their work and discussed needs for HPC resources
Also, on 20 Feb, during the HPC/AI Expert Round Table, panelists and presenters from academia and industry, representing Montenegro and the SEE region, shared insights on key challenges and innovative solutions related to the effective utilization of HPC and AI technologies. NCC representatives from Turkey, North Macedonia, and Serbia contributed with valuable experiences in industry engagement, SME onboarding, and the development of PoC/use cases across diverse sectors, including autonomous driving, digital commerce, social network simulations, bioinformatics, Large Language Models, and climate/weather prediction. There was around 100 attendees during the EuroCC2 and EuroCC4SEE events on the second day of the conference.
Representatives from EuroCC4SSEE NCCs gave presentations on use cases and provided insights on uptaking them to HPC
Furthermore, the discussions underscored the significance of enhanced collaboration among the scientific communities, business networks, and public governance to foster a thriving HPC/AI innovation ecosystem and digital economy. This collaborative approach is essential for leveraging the full potential of advanced computing technologies to address complex challenges and drive regional economic growth.
We are pleased to inform you that the Program of the 29th IT Conference and the schedule of sections are posted on the site within the links “Conference program” and “Sections schedule”.
We would like to inform you that you can follow the work of the Conference via a videoconference link. Authors of papers will be able to present their papers using the ZOOM video conferencing system. Access links are posted on the Conference website, within the links “Section schedule” and “Conference program”. More detailed information is published on the website or you can get it from the technical secretary at [link].