Comparative assessment of machine learning models for predicting glucose intolerance risk
This study focuses on predictive analytics and healthcare, specifically the prediction of
Glucose Intolerance, a chronic metabolic disease with significant global health implications …
Glucose Intolerance, a chronic metabolic disease with significant global health implications …
[HTML][HTML] Histopathology-driven prostate cancer identification: A VBIR approach with CLAHE and GLCM insights
Efficient extraction and analysis of histopathological images are crucial for accurate medical
diagnoses, particularly for prostate cancer. This research enhances histopathological image …
diagnoses, particularly for prostate cancer. This research enhances histopathological image …
Gauging Deep Learning Archetypal Effectiveness in Haematological Reclamation
J Ravikumar - SN Computer Science, 2024 - Springer
This paper project an system for reclamation of medical images in an effective way for the
extraction and retrieving of data from large archives is critical. This study aims to improve …
extraction and retrieving of data from large archives is critical. This study aims to improve …
Eye Hypertension Disorder Through Ensemble Frame Networks: A Novel Approach for Early Identification and Segmentation
TR Yashavanth, W Banu, RS Kumar, RA Ahmed - SN Computer Science, 2024 - Springer
The most common cause of blindness in humans today is glaucoma, which can potentially
cause total blindness in a normal individual. The development of this neurodegenerative …
cause total blindness in a normal individual. The development of this neurodegenerative …
The Burn Grafting Image Reclamation Redefined with the Peak-Valley Approach
Burn injuries constitute a significant public health challenge, often necessitating the
expertise of medical professionals for diagnosis. However, in scenarios where specialized …
expertise of medical professionals for diagnosis. However, in scenarios where specialized …