The AI model from IASST boasts a 98.02% accuracy, significantly improving early detection of cervical dysplasia.
Highlights:
The development of a cutting-edge computer model that considerably improves cervical dysplasia diagnosis has been revealed by scientists from the Institute of Advanced Study in Science and Technology (IASST), an autonomous institute of the Department of Science and Technology (DST) (1✔ ✔Trusted Source- An AI model with a 98.02% accuracy rate for diagnosing cervical dysplasia has been developed by IASST scientists
- The model uses the Non-Subsampled Contourlet Transform and YCbCr colour model to enhance diagnostic precision
- This advancement could lead to earlier and more reliable identification of cervical dysplasia, improving treatment outcomes
Novel computational model could help early detection of cervical cancer
Go to source). The disorder is characterized by abnormal cell development on the cervix's surface and has the potential to lead to cervical cancer. The work, published in the journal Mathematics, emphasized the significance of accurate pattern identification and categorization in the diagnosis and treatment of cervical cell dysplasia. "Our goal was to create a model that not only offers unparalleled accuracy but also operates efficiently with minimal computational resources," explained Dr. Lipi B. Mahanta of the IASST.
Cervical Dysplasia
Cervical dysplasia is a condition marked by growth of abnormal cells on the surface of the cervix. It carries a risk of progression to cervical cancer.
Cervical dysplasia is a condition marked by growth of abnormal cells on the surface of the cervix. It carries a risk of progression to cervical cancer.
‘Did You Know?
Cervical dysplasia, if detected early, can be treated before it progresses to cervical cancer. Cutting-edge AI models are now making early detection more accurate than ever! #medicalinnovation #aiinhealthcare #medindia’
Cervical dysplasia, if detected early, can be treated before it progresses to cervical cancer. Cutting-edge AI models are now making early detection more accurate than ever! #medicalinnovation #aiinhealthcare #medindia’
Machine Learning Framework for Cervical Dysplasia Diagnosis
The team's comprehensive approach included experimenting with multiple color models, transformation approaches, feature representation schemes, and classification methods to optimize the machine learning (ML) framework they created. The study includes testing the model's performance on two datasets: one sourced from healthcare centers across India and another publicly available dataset.The model attained an amazing average accuracy rate of 98.02% by using the Non-Subsampled Contourlet Transform (NSCT) and the YCbCr colour model, a specialized method of encoding colours in images. This high level of accuracy demonstrates the model's potential as a transformational tool in medical diagnostics.
Early Detection of Cervical Dysplasia
"Our findings could lead to significant advancements in the early detection of cervical dysplasia, providing healthcare professionals with more accurate diagnostic tools," according to Dr. Mahanta.
Single Test to Predict Pre-cancerous Cervical Disease Developed
DNA methylation test aids in predicting which cases of precancerous cervical disease will become more serious.
DNA methylation test aids in predicting which cases of precancerous cervical disease will become more serious.
Reference:
- Novel computational model could help early detection of cervical cancer (https://pib.gov.in/PressReleasePage.aspx?PRID=2036843)
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Cervical Cancer
Cancer cervix refers to cancerous growth in the cervix and usually occurs in the transition called squamo-columnar junction.
Cancer cervix refers to cancerous growth in the cervix and usually occurs in the transition called squamo-columnar junction.
Pap smear and Cervical Cancer Screening
Pap smear is the most common test used in screening cervical cancer caused by an infection with human papilloma virus. Pap smear should be repeated every 1 to 3 years till the age of 65 years.
Pap smear is the most common test used in screening cervical cancer caused by an infection with human papilloma virus. Pap smear should be repeated every 1 to 3 years till the age of 65 years.
