Publications by authors named "Igor Batista Rosmaninho"
Article Synopsis
- Recent advancements in computer vision technologies have potential applications in clinical microbiology to automate tasks and improve diagnostic speed and reliability.
- Deep learning models can assist technicians by streamlining the screening process for urine tests, reducing time spent on no-growth classifications.
- A dataset of 1500 images of urine test Petri dishes was created under controlled conditions, with expert microbiologists classifying results as positive, negative, or uncertain, aiding the development of deep learning algorithms for microbial growth classification.
