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DEEP LEARNING CLASSIFICATION OF OPTICAL COHERENCE TOMOGRAPHY RETINAL IMAGES
This Study Presents A Deep Learning Approach For The Classification Of Optical Coherence Tomography (OCT) Retinal Images To Identify Various Retinal Diseases, Including Acrima, Cataract, Glaucoma, And Normal Retina, Utilizing The ResNet-50...
LUNG CANCER DETECTION AND SEMANTIC SEGMENTATION USING VGG U-NET ARCHITECTURE
Lung Cancer Is One Of The Most Fatal Cancers Worldwide, And Malignant Tumors Are Characterized By The Growth Of Abnormal Cells In The Tissues Of Lungs. Usually, Symptoms Of Lung Cancer Do Not Appear Until It Is Already At An Advanced Stage....