Results 111 to 120 of about 740 (176)

Task-based transferable deep-learning scatter correction in cone beam computed tomography: a simulation study. [PDF]

J Med Imaging (Bellingham)
Cruz-Bastida JP, Moncada F, Martínez-Dávalos A, Rodríguez-Villafuerte M.   +3 more
europepmc   +1 more source

Interactive Multi-scale Fusion: Advancing Brain Tumor Detection Through Trans-IMSM Model. [PDF]

J Imaging Inform Med
Durairaj V, Uthirapathy P.
europepmc   +1 more source

Structure-aware medical image fusion via mean curvature enhancement in the contourlet domain. [PDF]

PLoS One
Sharma S, Rani S, Dogra A, Shabaz M.
europepmc   +1 more source

Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review. [PDF]

J Exp Orthop
Longo UG, Lalli A, Nicodemi G, Pisani MG, De Sire A, D'Hooghe P, Nazarian A, Oeding JF, Zsidai B, Samuelsson K.   +9 more
europepmc   +1 more source

Hybrid ensemble - deep transfer model for early cassava leaf disease classification. [PDF]

Heliyon
V K, S S, Sendil M, Nagarajan K, Punetha D.   +4 more
europepmc   +1 more source

Predicting Biochemical Recurrence of Prostate Cancer Post-Prostatectomy Using Artificial Intelligence: A Systematic Review. [PDF]

Cancers (Basel)
Liu J, Zhang H, Woon DTS, Perera M, Lawrentschuk N.   +4 more
europepmc   +1 more source

AI-Assisted vs Unassisted Identification of Prostate Cancer in Magnetic Resonance Images.

JAMA Netw Open
Twilt JJ, Saha A, Bosma JS, Padhani AR, Bonekamp D, Giannarini G, van den Bergh R, Kasivisvanathan V, Obuchowski N, Yakar D, Elschot M, Veltman J, Fütterer J, Huisman H, de Rooij M, PI-CAI Consortium.   +15 more
europepmc   +1 more source

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Multi-focus image fusion using PCNN

Pattern Recognition, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhaobin Wang, Jason Jianjun Gu
exaly   +2 more sources

Medical image fusion using m-PCNN

Information Fusion, 2008
Medical image fusion plays an important role in clinical applications such as image-guided surgery, image-guided radiotherapy, non-invasive diagnosis, and treatment planning. Pulse coupled neural network (PCNN) is derived from the synchronous neuronal burst phenomena in the cat visual cortex.
Zhaobin Wang
exaly   +2 more sources

PCNN models and applications

IEEE Transactions on Neural Networks, 1999
The pulse coupled neural network (PCNN) models are described. The linking field modulation term is shown to be a universal feature of any biologically grounded dendritic model. Applications and implementations of PCNN's are reviewed. Application based variations and simplifications are summarized.
John L. Johnson, Mary Lou Padgett
openaire   +2 more sources