IRO Journals

Recent Research Reviews Journal
Archives / Volume-2 / Issue-1 / Article-7

Volume - 2 | Issue - 1 | june 2023

Survey On Medical Image Classification Using CAPSGNN
Shanmugam P  , Rohit Gangadhar P, Rifhath Aslam J  195  119
Pages: 81-100
Cite this article
P, S., P, R. G. & J, R. A. (2023). Survey On Medical Image Classification Using CAPSGNN. Recent Research Reviews Journal, 2(1), 81-100. doi:10.36548/rrrj.2023.1.07
26 June, 2023

The general Convolutional Neural Networks (CNNs) have been in practice, being the most conventional algorithm for image-based detection and classification. But over the years, after extensive use of CNN algorithms with different architectures, it has been shown that CNN tends to lose details and features of the image. This led to the use of Capsule-based neural networks for image detection and classification. On the other side, CNN has evolved and integrated with another type of neural network called the Graph Neural Network (GNN). Many existing systems have drawbacks such as feature loss and computation efficiency. Several transfer learning models have been introduced to solve these problems by modifying the existing models and adding different combinations of layers and hyper parameters. However, they still don't provide a clear solution as they are just derived algorithms. Therefore, there is a need to design an algorithm and technique that approaches the image classification process in a unique and different way. This is where the CAPSGNN algorithm comes into use. This proposed model uses the best features of all the other algorithms and fuses them into one algorithm. This reduces the computation time and solves the feature loss problems. Now, reports can be generated faster and more accurately for assisting the process of disease diagnosis in hospitals and saving doctors' time spent on reviewing every report. These speeds up the cycle of the medical field, as the identification of diseases takes more time than the actual treatment and needs to be processed faster for faster treatment and recovery.


Convolutional Neural Network (CNN) Capsule Neural Network (CAPSNET) Graph Neural Network (GNN) Capsule Graph Neural Network (CAPSGNN)

Full Article PDF Download Article PDF 

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
For single article (Indian)
1,200 INR
Article Access Charge
For single article (non-Indian)
15 USD
Open Access Fee (Indian) 5,000 INR
Open Access Fee (non-Indian) 80 USD
Annual Subscription Fee
For 1 Journal (Indian)
15,000 INR
Annual Subscription Fee
For 1 Journal (non-Indian)
200 USD
secure PAY INR / USD
Subscription form: click here