DeFungi: Direct mycological examination of microscopic fungi images

CJP Sopo, F Hajati, S Gheisari - arXiv preprint arXiv:2109.07322, 2021 - arxiv.org
Traditionally, diagnosis and treatment of fungal infections in humans depend heavily on face-
to-face consultations or examinations made by specialized laboratory scientists known as …

[PDF][PDF] Detection of Fungal Infections from Microscopic Fungal Images Using Deep Learning Techniques

I Cinar, YS Taspinar - Proc Int Conf Adv Technol, 2023 - researchgate.net
Fungal infections, due to their diverse manifestations and varying characteristics, present
significant challenges in medical diagnosis. This study delves into applying deep-learning …

VGG19-DeFungi: A Novel Approach for Direct Fungal Infection Detection Using VGG19 and Microscopic Images

S Asadi Amiri, F Mohammady - Journal of AI and Data Mining, 2024 - jad.shahroodut.ac.ir
Fungal infections, capable of establishing in various tissues and organs, are responsible for
many human diseases that can lead to serious complications. The initial step in diagnosing …

Comparative Study of Microscopic Fungii Classification Using Transfer Learning Models

H Mohamed, AE Nagib, M Hany - 2024 Intelligent Methods …, 2024 - ieeexplore.ieee.org
Historically, the detection and therapy of fungal disease in humans have relied significantly
on direct consultations or assessments conducted by specialized laboratory professionals …

Image Segmentation for Aspergillus, Cladosporium, and Trichoderma Fungus

B Maulana, M Wibowo, G Putra, JG Pinem… - Proceedings of the …, 2022 - dl.acm.org
In order to support research in drug development, there is a need to classify fungi based on
their genus. The first step in this research is to perform image segmentation on various fungi …