IJFANS International Journal of Food and Nutritional Sciences
ISSN PRINT 2319 1775 Online 2320-7876
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Effect of Biostimulants (Azospirillum, Pseudomonas and Bacillus) on the growth and disease suppression of neem Azadirachta indica (A) juss.seedlings
Volume 13 | Issue 4
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“Pigments of Imagination & Color Psychology of Consumers towards Apparel: A Perceptual Study”
Volume 13 | Issue 4
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Exploring The Relationship Between Weather Patterns and Energy Consumption in Smart Homes: A Regression Analysis
Volume 13 | Issue 4
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DEEP LEARNING BASED APPROACH FOR BIRD SPECIES IDENTIFICATION AND CLASSIFICATION
Volume 13 | Issue 4
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ML-DRIVEN WASTE CLASSIFICATION FOR EFFECTIVE ORGANIC AND NON-ORGANIC WASTE MANAGEMENT
Volume 13 | Issue 4
Deep Learning Advancements in Breast Cancer Lesion Detection Using U-Net Methodologies
Main Article Content
Abstract
The Breast cancer remains a critical global health concern, involves advanced diagnostic tools for early detection of breast cancer and advanced scanning methodologies helps doctors, medical practioners for easy diagnotistics and to improve patient health. This research explores the application of deep learning methodologies, specifically focusing on the U-Net architecture, to enhance the accuracy and efficiency of breast cancer lesion detection
