Capabilities of GPT-4o and Gemini 1.5 Pro in Gram stain and bacterial shape identification
Aim: Assessing the visual accuracy of two large language models (LLMs) in microbial
classification. Materials & methods: GPT-4o and Gemini 1.5 Pro were evaluated in …
classification. Materials & methods: GPT-4o and Gemini 1.5 Pro were evaluated in …
Lightweight Visual Transformers Outperform Convolutional Neural Networks for Gram-Stained Image Classification: An Empirical Study
We aimed to automate Gram-stain analysis to speed up the detection of bacterial strains in
patients suffering from infections. We performed comparative analyses of visual transformers …
patients suffering from infections. We performed comparative analyses of visual transformers …
A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer
This study introduces a new framework for the artificial intelligence-assisted characterization
of Gram-stained whole-slide images (WSIs). As a test for the diagnosis of bloodstream …
of Gram-stained whole-slide images (WSIs). As a test for the diagnosis of bloodstream …
Classification of Microorganisms from Sparsely Limited Data Using a Proposed Deep Learning Ensemble
With the recent advancements in medicine and biotechnology, there is always a growing
need for more sophisticated decision systems to aid in certain biological factors, such as …
need for more sophisticated decision systems to aid in certain biological factors, such as …
[PDF][PDF] AI and Android Powered Robotic Solution for Precision Agriculture
IS Santos - 2023 - repositorio-aberto.up.pt
Large-scale traditional agriculture does not address the problem of climate change.
Precision Agriculture (PA) is quickly emerging as an alternative, but it is not yet widespread …
Precision Agriculture (PA) is quickly emerging as an alternative, but it is not yet widespread …
Efficient Deep Learning at Inference Time for Gram Stained Image Classification
HE Kim - 2024 - archiv.ub.uni-heidelberg.de
Deep learning (DL) and artificial intelligence (AI) are woven into the fabric of our daily lives,
and they also hold/have shown promise in the medical domain. Despite numerous studies …
and they also hold/have shown promise in the medical domain. Despite numerous studies …