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Akademický článek

Diagnosis of Alzheimer's Disease from Brain Magnetic Resonance Imaging Images using Deep Learning Algorithms

Autor: SUGANTHE, R. C., LATHA, R. S., GEETHA, M., SREEKANTH, G. R.

Publikováno v: Advances in Electrical and Computer Engineering, Vol 20, Iss 3, Pp 57-64 (2020)

Alzheimer's disease is one amongst the progressive disorder that cruelly affects the brain cells. It causes the death of nerve cells and tissue loss in brain. It usually tends to start slowly and aggravates overtime. The symptoms of Alzheimer's dis

Externí odkaz: https://doaj.org/article/a2ce17ce9d964ec4b5561a84bb7234af

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Akademický článek

A novel convolutional neural network for identification of retinal layers using sliced optical coherence tomography images

Autor: Akshat Tulsani, Jeh Patel, Preetham Kumar, Veena Mayya, Pavithra K.C., Geetha M., Sulatha V. Bhandary, Sameena Pathan

Publikováno v: Healthcare Analytics, Vol 5, Iss , Pp 100289- (2024)

Retinal imaging is crucial for observing the retina and accurately diagnosing pathological problems. Optical Coherence Tomography (OCT) has been a transformative breakthrough for developing high-resolution cross-sectional images. It is imperative to

Externí odkaz: https://doaj.org/article/bbfd53e9311445a989dfe25e659c9ab3

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Akademický článek

Enhancing Ovarian Tumor Dataset Analysis Through Data Mining Preprocessing Techniques

Autor: Roopashri Shetty, Geetha M. M., U. Dinesh Acharya, Shyamala G.

Publikováno v: IEEE Access, Vol 12, Pp 122300-122312 (2024)

The early detection and treatment of ovarian cancer face considerable hurdles due to its complexity and lethal nature. Because of its high death rates and heterogeneity, ovarian cancer poses a significant challenge to oncology. In-depth study of ovar

Externí odkaz: https://doaj.org/article/1c8d28ac79384f2fa31894d308b932c2

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