Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Learning-Based Diagnosis of Retinal Diseases Using OCT

Deep Learning-Based Diagnosis of Retinal Diseases Using OCT

Melhem, Reema
Alkuddsi, Yanal

Paperback

General Art

ISBN10: 6207465172
ISBN13: 9786207465170
Publisher: LAP Lambert Academic Publishing
Published: May 5 2025
Pages: 64
Weight: 0.22
Height: 0.15 Width: 6.00 Depth: 9.00
Language: English
There are numerous eye conditions but the most two common retinal conditions are Age- Related Macular Degeneration (AMD), which the sharp, central vision and a leading cause of vision loss among people age 50 and aged, there are two types ofAMD are wet AMD (Choroidal neovascularization (CNV)) and dry AMD (DRUSEN).Diabetic Macular Edema (DME), which is a complication of diabetes that can affect the fovea and it caused by fluid accumulation in the macula. thus, early discovery of conditions is a critical significance. The goal of this thesis is implementation of deep learning model used to detect four types of retinal cases (NORMAL, CNV, DME, and DRUSEN) by using Convolutional Neural Network (CNN) to Avoid manual diagnostic errors and help doctors make faster, and more accurate diagnoses.

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