prof. dr hab. inż. Edward Szczerbicki | Gdańsk University of Technology

Several security concerns and efforts to breach system security and prompt safety concerns have been brought to light as a result of the expanding use of LLMs. These vulnerabilities are evident and LLM models have been showing many signs of hallucination, repetitive content generation, and biases, which makes them vulnerable to malicious prompts that raise substantial concerns in regard to the dependability and efficiency of such...

In the field of chromosome karyotype analysis, performing straightening preprocessing on chromosomes is a critical step to improve the accuracy of chromosome identification. Previous studies have typically relied on geometric algorithms; however, during the straightening process, external perturbations caused by geometric factors often result in the distortion or deformation of chromosome banding patterns, leading to the loss of...

Digital twin (DT) is an enabling technology that integrates cyber and physical spaces. It is well-fitted for manufacturing setup since it can support digitalized assets and data analytics for product and process control. Conventional manufacturing setups are still widely used all around the world for the fabrication of large-scale production. This article proposes a general DT implementation architecture for engineering objects/artifacts...

Chromosome analysis plays a vital role in diagnosing genetic abnormalities, but traditional deep learning models used for this purpose often function as black boxes, lacking transparency and interpretability. In this paper, we enhance the self-supervised DINO framework to create a more interpretable model for chromosome classification and anomaly detection. We introduce three key components: Sinkhorn-Knopp (SK) centering to ensure balanced...

This article proposes a mask refinement method for chromosome instance segmentation. The proposed method exploits the knowledge representation capability of Neural Knowledge DNA (NK-DNA) to capture the semantics of the chromosome’s shape, texture, and key points, and then it uses the captured knowledge to improve the accuracy and smoothness of the masks. We validate the method’s effectiveness on our latest high-resolution chromosome...