Research graph
References from Explainable deep learning techniques for microscopic fungi classification using a learnable threshold-based ReLULeaky activation function and transfer learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Entomopathogenic fungi as biological control agents
10.1007/s00253-003-1240-8 · 2003 · External reference
Fungal entomopathogens: new insights on their ecology
10.1016/j.funeco.2009.05.001 · 2009 · External reference
Bacterial and fungal infections in covid-19 patients: a matter of concern
10.1017/ice.2020.156 · 2020 · External reference
Fungal and bacterial coinfections increase mortality of severely ill COVID-19 patients
10.1016/j.jhin.2021.04.001 · 2021 · External reference
Melanized fungi in human disease
10.1128/cmr.00019-10 · 2010 · External reference
Opportunistic invasive fungal infections: diagnosis & clinical management
2014 · External reference
Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network
10.1016/j.cmpb.2019.105019 · 2020 · External reference
Emerging fungal diseases
10.1086/432060 · 2005 · External reference
Invasive fungal infections in acute and chronic liver impairment: a systematic review
10.1111/myc.13403 · 2022 · External reference
Fungal diseases as neglected pathogens: a wake-up call to public health officials
2021 · External reference
When uncontrolled diabetes mellitus and severe COVID-19 converge: the perfect storm for mucormycosis
10.3390/jof7040298 · 2021 · External reference
Antifungal drug resistance: an emergent health threat
10.3390/biomedicines11041063 · 2023 · External reference
Incubation of fungal cultures: how long is long enough?
10.1111/j.1439-0507.2010.01977.x · 2011 · External reference
Diagnosis of dermatophytosis: an evaluation of direct examination using mycetcolor® and mycetfluo®
10.1016/j.diagmicrobio.2015.06.022 · 2015 · External reference
Recent diagnostic techniques in mycology
2014 · External reference
Why are so many cases of invasive aspergillosis missed?
10.1093/mmy/myy081 · 2019 · External reference
Unresolved reference
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Unresolved reference
2021 · External reference
A fungus spores dataset and a convolutional neural network based approach for fungus detection
10.1109/tnb.2018.2839585 · 2018 · External reference
Fusarium species identification by means of digital signal processing
2019 · External reference
Automatic detection of fungi in microscopic leucorrhea images based on convolutional neural network and morphological method
2019 · External reference
Deep learning approach to describe and classify fungi microscopic images
10.1371/journal.pone.0234806 · 2020 · External reference
The design and application of an automated microscope developed based on deep learning for fungal detection in dermatology
10.1111/myc.13209 · 2021 · External reference
Transfer learning approach for the classification of conidial fungi (genus aspergillus) thru pre-trained deep learning models
2020 · External reference
An alternative diagnostic method for C. neoformans: preliminary results of deep-learning based detection model
2022 · External reference
Deep convolutional neural networks for onychomycosis detection using microscopic images with KOH examination
10.1111/myc.13498 · 2022 · External reference
Mefunx: a novel meta-learning-based deep learning architecture to detect fungal infection directly from microscopic images
10.1016/j.fraope.2023.100069 · 2024 · External reference
Classification of fungal genera from microscopic images using artificial intelligence
10.1016/j.jpi.2023.100314 · 2023 · External reference
Microscopic fungi classification using vision transformer guided by transfer learning approach
2023 · External reference
Classification of fungi images using different convolutional neural networks
2023 · External reference
Vgg19-defungi: a novel approach for direct fungal infection detection using vgg19 and microscopic images
2024 · External reference
Nonparametric regression using deep neural networks with ReLU activation function
2020 · External reference
Reluplex made more practical: leaky ReLU
2020 · External reference
A survey of transfer learning
10.1186/s40537-016-0043-6 · 2016 · External reference
A comprehensive survey on transfer learning
10.1109/jproc.2020.3004555 · 2021 · External reference
Grad-cam: visual explanations from deep networks via gradient-based localization
2017 · External reference
Adapting grad-cam for embedding networks
2020 · External reference
Grad-cam++: generalized gradient-based visual explanations for deep convolutional networks
2018 · External reference
Fooling lime and shap: adversarial attacks on post hoc explanation methods
2020 · External reference
A perspective on explainable artificial intelligence methods: shap and lime
10.1002/aisy.202400304 · 2025 · External reference
Fastai: a layered API for deep learning
10.3390/info11020108 · 2020 · External reference
Unresolved reference
2020 · External reference
Fungi classification: enhancing diagnosis using deep learning
2024 · External reference
Comparative study of microscopic fungi classification using transfer learning models
2024 · External reference
Mycological examination of microscopic fungi images with deep learning and gradient weighted class activation mapping visualization
2024 · External reference
Hybrid deep-anfn model for dimensionality reduction and classification
10.1109/access.2024.3498958 · 2024 · External reference
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Enhanced performance of brain tumor classification via tumor region augmentation and partition
10.1371/journal.pone.0140381 · 2015 · External reference
A dataset for breast cancer histopathological image classification
10.1109/tbme.2015.2496264 · 2016 · External reference
Sipakmed: a new dataset for feature and image based classification of normal and pathological cervical cells in pap smear images
2018 · External reference
Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography
10.1038/s41598-022-15634-4 · 2022 · External reference
Lung and colon cancer histopathological image dataset (lc25000)
2019 · External reference
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