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Using autoencoder GANs to generate image of skin tumor.
Disease Identification Made Easy
Early diagnosis of skin Melanoma, could help medical professionals understand better the patience condition, while computer-aided systems have the flexibility to facilitate more experiments.
In order to streamline the process of Covid-19 detection, we trained a CNN model to detect the differences between Healthy Chest X-rays and those infected with Covid-19.
With just your microscopic cell image, we can identify whether you are parasitized or uninfected for Malaria.
what a good match
Instance Segmentation Split into 2 :)
Accurately locating seeds is essential in cancer treatment. Our model uses deep learning to identify these seeds from CT images.
deep-learning computer_vision MRI Segmentation CT-Image
