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This repository is a fork of a machine learning model made by Howchihlee. My goal is to create a reliable ML Model that can determine if a patient has COVID-19 based on computed tomography(CT) scans from a sample of patients that have tested positive and patients that have tested negative.
Pancreatic Cancer Diagnosis Project; undertaken at Design and Innovation Center (DIC), an initiative of the Ministry of Human Resource and Development (MHRD), India
From the onset of 2020, Coronavirus disease (COVID-19) has rapidly accelerated worldwide into a stage of a severe pandemic. COVID-19 has infected more than 29 million people and caused more than 900 thousand deaths. Being highly contagious, it causes community transmission explosively. Thus, health care delivery has been disrupted and compromise…
Msc Thesis notes - Evaluation of the effectiveness of artificial neural networks in reducing noise in chest images obtained by various computer tomography methods
The study works on generating CT images from MRI images, where unsupervised learning was used using VAE-CycleGan. Since the number of samples included in the data set used in the study, and therefore in this case we are in a state of epistemic uncertainty, therefore probabilistic models were used in forming the latent space.
CNN architectures Resnet-50 and InceptionV3 have been used to detect whether the CT scan images is covid affected or not and prediction is validated using explainable AI frameworks LIME and GradCAM.