Diagnosis of retinal disorders from OCT
I proposed a classification algorithm based on machine learning (DL) to detect retinal diseases from optical coherence tomography (OCT) X-ray images.
Diagnosis of retinal disorders from OCT
I proposed a classification algorithm based on machine learning (DL) to detect retinal diseases from optical coherence tomography (OCT) X-ray images.
The problem Diagnosis of retinal disorders from OCT solves
Retinal diseases are the most common cause of losing eyesight at an early age
OCT helps patients prevent or minimize vision loss by detecting retinal diseases in the early stages of treatment
Using the traditional approaches it takes a considerable amount of time to analyse and interpret the OCT images.
Retinal disease classification is a significant problem in computer-aided diagnosis (CAD) for medical applications.
The proposed approach has a potential impact on creating a tool for automatically detecting retinal diseases.
Challenges I ran into
Data loading and model training consumed considerable amount of time making it difficult to reach over goal.
Tracks Applied (4)
Open Source
This model is an open-source medical imaging model which can be used in clinical setting to improve the diagnostic accur...Read MoreHealthcare
In the healthcare field, this type of model can be used for automated diagnosis and analysis of eye diseases such as age...Read MoreWeb3
A model like this could potentially be used in a web3-based healthcare application, where patients can upload their OCT ...Read MoreOverall Hackathon
In the hackathon, this model could be used to improve the accuracy of the diagnosis and reduce the time required to anal...Read MoreDiscussion