Assessment of Skeletal Class I Subjects of Uttarakhand using Beta Angle

Abstract

Objective: To evaluate and establish the norms for Class I subjects of Uttarakhand population using the beta angle. Materials & Method:The sample included pre-treatment lateral cephalograms of 100 subjects aged 18-30 years belonging to Uttarakhand ethnicity and possessing skeletal Class I malocclusion with pleasing profile. Beta angle measurement was performed and compared with Caucasian standards. Result:No statistically significant difference was found in the beta angle values of Uttarakhand and Caucasian populations.Beta angle norms for Caucasian population can be applied for the Uttarakhand population. Conclusion:Beta angle is relatively a stable parameter in population with different ethnicities.

Hybrid Approach for Skin Disease Classification: Integrating Machine learning and Deep Learning

“…The proposed methods were evaluated on the International Skin Imaging Collaboration (ISIC) 2018 test dataset, achieving a top validation score of 0.76 for the PNASNet-5-Large model. Further improvements and optimizations with larger training datasets and carefully selected hyperparameters could enhance the performance of the proposed methods Jainesh Rathod and Vishal Waghmode et al [7] highlighted the complexity of dermatology and the challenges associated with diagnosing skin conditions. In the field of dermatology, multiple examinations and assessments are often required to determine the specific skin condition a patient may be facing.…”