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Efficient liver segmentation with 3D CNN using computed tomography scans
The liver is one of the most critical metabolic organs in vertebrates due to its vital functions in the human body, such as detoxification of the blood from waste products and medications.
Breast Cancer Classification Based on Histopathological Images Using a Deep Learning Capsule Network
Breast cancer is one of the most serious types of cancer that can occur in women.
An Enhanced Deep Learning Technique for Prostate Cancer Identification Based on MRI Scans
The experimental results of this proposed new deep learning technique represent promising and effective results compared to other previous techniques.
Diabetic Retinopathy Grading System Based on Transfer Learning
In the proposed DL CAD system, we present a customized efficientNet model in order to diagnose the early and advanced grades of the DR disease.
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends
Histopathology images are captured by a microscope to locate, examine, and classify many diseases, such as different cancer types.
