Výsledky vyhledávání

Report

An Integrated Deep Learning Framework for Effective Brain Tumor Localization, Segmentation, and Classification from Magnetic Resonance Images

Autor: V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, A, Aravintakshan S, S, Pavan Kumar, S, Madhan

Tumors in the brain result from abnormal cell growth within the brain tissue, arising from various types of brain cells. When left undiagnosed, they lead to severe neurological deficits such as cognitive impairment, motor dysfunction, and sensory los

Externí odkaz: http://arxiv.org/abs/2409.17273

Zobrazit plný text záznamu

Report

Leveraging SeNet and ResNet Synergy within an Encoder-Decoder Architecture for Glioma Detection

Autor: V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, S, Pavan Kumar, A, Aravintakshan S

Brain tumors are abnormalities that can severely impact a patient's health, leading to life-threatening conditions such as cancer. These can result in various debilitating effects, including neurological issues, cognitive impairment, motor and sensor

Externí odkaz: http://arxiv.org/abs/2409.00804

Zobrazit plný text záznamu

Report

A Channel Attention-Driven Hybrid CNN Framework for Paddy Leaf Disease Detection

Autor: V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, S, Pavan Kumar, A, Aravintakshan S, M, Senthil Kumar A, A, Kannan

Farmers face various challenges when it comes to identifying diseases in rice leaves during their early stages of growth, which is a major reason for poor produce. Therefore, early and accurate disease identification is important in agriculture to av

Externí odkaz: http://arxiv.org/abs/2407.11753

Zobrazit plný text záznamu

Report

Leveraging Bi-Focal Perspectives and Granular Feature Integration for Accurate Reliable Early Alzheimer's Detection

Autor: V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, A, Aravintakshan S, S, Pavan Kumar, A, Kannan

Alzheimer's disease (AD) is the most common form of neurodegeneration, which impacts millions of people each year. Diagnosing and classifying AD accurately with neuroimaging data is an ongoing challenge in the field of medicine. Traditional Convoluti

Externí odkaz: http://arxiv.org/abs/2407.10921

Zobrazit plný text záznamu

Akademický článek

Improved tomato leaf disease classification through adaptive ensemble models with exponential moving average fusion and enhanced weighted gradient optimization

Autor: Pandiyaraju V., A. M. Senthil Kumar, Joe I. R. Praveen, Shravan Venkatraman, S. Pavan Kumar, S. A. Aravintakshan, A. Abeshek, A. Kannan

Publikováno v: Frontiers in Plant Science, Vol 15 (2024)

Tomato is one of the most popular and most important food crops consumed globally. The quality and quantity of yield by tomato plants are affected by the impact made by various kinds of diseases. Therefore, it is essential to identify these diseases

Externí odkaz: https://doaj.org/article/6f12cedbcd554c53932e5da8fd319e58

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání