Aceso: A Medical Image Analysis Platform Using Deep Learning

Universally, deep learning researchers and medical professionals have always had a gap that hinders their interaction: their expertise or use of technology. To bridge this gap, we have developed a medical image analysis platform that uses deep learning to make it easier for them to work together. We have built the third version platform where users can upload and process a medical image to check, research, aid in their diagnosis or training. Unfortunately, open-source codes are unavailable, but we allow users to download the free trial version on their local server. This article will discuss the three main contents in detail: how we have built the platform, how it supports users, and how we use models in our system. Primarily, we have integrated some popular models into this platform with a dataset of over 180,000 patients. In addition, the platform can help us detect 20 different diseases related to the lungs, such as Covid-19, Pneumonia, Atelectasis, Consolidation, Edema, Effusion, Lung Lesion, etc. The models' Accuracy is over 90 percent. The platform is freely available on the website: https://aceso.tech/ (*). Note: we have split our platform into 14 classes, 18 classes, and 20 classes.