Results 91 to 100 of about 17,494 (194)

Identification of <i>Aspergillus</i> at section and species levels by artificial intelligence-based microscopic morphology image recognition. [PDF]

J Clin Microbiol
Tan M, Guo Z, Wang Y, Xu X, Cao W, Liu Z, Jiang C.   +6 more
europepmc   +1 more source

XTC-Net: an explainable hybrid model for automated atelectasis detection from chest radiographs. [PDF]

Sci Rep
Rajpoot R, Jain S, Semwal VB.
europepmc   +1 more source

The Use of Deep Learning in Distinguishing Chalazion and Eyelid Mass. [PDF]

J Ophthalmol
Li A, Schmuter G, Rana S, Hyder S, Patel P, Hembree A, Philips A, Prather S, Curato M, Segal K, Godfrey KJ, Lelli G.   +11 more
europepmc   +1 more source

Efficient attention-based Ghost-ResNet for brain tumor classification in magnetic resonance imaging (MRI). [PDF]

Front Neurosci
Shatnawi N, Nahar KMO, Al Mamlook RE, Almuflih AS, Al Fatais AM, Alhatamleh S, Alishwait A, Amin M.   +7 more
europepmc   +1 more source

Comparative Evaluation of Deep Learning Models for the Classification of Impacted Maxillary Canines on Panoramic Radiographs. [PDF]

Diagnostics (Basel)
Tokatlı N, Erdem B, Özcan M, Turan Maviş B, Şar Ç, Özdemir F.   +5 more
europepmc   +1 more source

Skin disease diagnostics through federated transfer learning on heterogeneous data. [PDF]

Sci Rep
Sharma S, Mittal R, Goyal N, Goyal SB, Verma C.   +4 more
europepmc   +1 more source

Malaria Parasite Cell Classification Using Transfer Learning with State-of-the-Art CNN Architectures. [PDF]

Biology (Basel)
Laghari AA, Muhammad W, Memon ML, Hussain A, Kumar A.   +4 more
europepmc   +1 more source

TL-PneuNet: a transfer learning-based pneumonia classification framework. [PDF]

Sci Rep
Tripathy B, Khan S, Bebortta S, Kamal A, Tripathy SS, Fazil M, Albarrak AM.   +6 more
europepmc   +1 more source

XMP-Net: An XAI-Based Modified Xception Model for Recognizing Monkeypox and Other Skin Diseases. [PDF]

Biomed Res Int
Ferdib-Al-Islam, Biswas P, Gharami PP, Islam MR.   +3 more
europepmc   +1 more source

Trustworthy deep learning for malaria diagnosis using explainable artificial intelligence. [PDF]

Sci Rep
Parveen R, Qui B, Song W, Al-Kahtani N, Jamjoom MM, Mostafa SM, Sultan N, Fatima J.   +7 more
europepmc   +1 more source