Researchers at the Indian Institute of Technology (IIT) in Jodhpur have formulated a deep learning-based cataract detection method that is inexpensive and offers very high levels of accuracy. According to the research team, eye images acquired by low-cost near-infrared (NIR) cameras can aid in low-cost, easy-to-use and practical solutions for cataract detection.

Figure 1: New Cataract Detection Method by Indian Institute of Technology (IIT) in Jodhpur.

Figure 1 shows that "The proposed multitask deep learning algorithm is inexpensive and results in very high levels of accuracy. This research presents a deep learning-based cataract detection method that involves iris segmentation and multitask network classification. The proposed segmentation algorithm efficiently and effectively detects non-ideal eye boundaries," said Richa Singh, Professor.[1]

"The proposed method can be used in rural settings where the availability of doctors is limited. It is also cost-effective as low-cost NIR cameras are used in place of costly ophthalmoscopes," a senior institute official said.

In traditional methods, cataracts are mainly detected through fundus images, where image acquisition is costlier and needs experts to handle the fundus cameras. The AI-based solution with low-cost imaging devices can make it more accessible and inexpensive, the researchers claimed.

"Currently, a large number of patients with cataracts have to visit secondary and tertiary care centres. The availability of such a solution can assist doctors at the primary health care centres in helping such patients," Singh explained. [2]

Mayank Vatsa, one other professor on the division, stated, “We’re extending this analysis to incorporate each cataract and diabetic retinopathy within the answer and have collaborated with a number of hospitals within the nation for area experience, knowledge assortment, and validation of the answer.”

The researchers plan to undertake an in-depth knowledge assortment train for constructing an ophthalmology databank with completely different sorts of gadgets.

The second half improves the method and creates an explainable and sturdy AI algorithm for cataract detection. IIT-Jodhpur has collaborated with the Postgraduate Institute of Medical Schooling and Analysis. [3]

References:

1. https://www.republicworld.com/technology-news/science/iit-jodhpur-researchers-come-up-with-deep-learning-based-cataract-detection-method-articleshow.html
2. https://www.theweek.in/wire-updates/national/2022/04/28/des25-iit-research-cataract.html
3. https://newsindiacenter.com/iit-jodhpur-researchers-formulate-deep-learning-based-cataract-detection-methodology/

Cite this article:

Sri Vasagi K (2022), Deep Learning-Based Cataract Detection Method Found by IIT Researchers, AnaTechMaz, pp.113