A5052602457- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Brain Tumor Detection and Classification
- Digital Imaging for Blood Diseases
- COVID-19 diagnosis using AI
- Phonocardiography and Auscultation Techniques
- ECG Monitoring and Analysis
- Parkinson's Disease Mechanisms and Treatments
- Infrared Thermography in Medicine
- Vehicle License Plate Recognition
- Digital Radiography and Breast Imaging
- Music and Audio Processing
Swami Ramanand Teerth Marathwada University
2021-2025
Breast cancer, which attacks the glandular epithelium of breast, is second most common kind cancer in women after lung and it affects a significant number people worldwide. Based on advantages Residual Convolutional Network Transformer Encoder with Multiple Layer Perceptron (MLP), this study proposes novel hybrid deep learning Computer-Aided Diagnosis (CAD) system for breast lesions. While backbone residual network employed to create features, transformer utilized classify according...
Early detection of breast cancer is an essential procedure to reduce the mortality rate among women. In this paper, a new AI-based computer-aided diagnosis (CAD) framework called ETECADx proposed by fusing benefits both ensemble transfer learning convolutional neural networks as well self-attention mechanism vision transformer encoder (ViT). The accurate and precious high-level deep features are generated via backbone network, while used diagnose probabilities in two approaches: Approach A...
Parkinson's disease is a progressive neurological condition that affects motor abilities. Common symptoms include tremors, muscle stiffness, and difficulty with coordinated movements. A variety of efforts are underway to address these issues improve diagnostic precision in disease. This paper employs well-known machine-learning techniques accuracy. individual ensemble AI models have been proposed, including Random Forest, Decision Tree, Logistic Regression, Gradient Boosting, Support Vector...
The never-ending issue of inadequate energy availability is constantly on the outermost layer. Consequently, an ongoing effort has been made to improve electric power plants and system configurations. Photovoltaic Distributed Generators (PVDG) compensators such as Static Var Compensator (DSVC) are center these recent advances. Due its high complexity, devices' optimum locating dimensions a relatively new in Electrical Distribution Grid (EDG). A modified version Newton Raphson Based Optimizer...
Early diagnosis of myocardial infarction (MI) is critical for preserving cardiac function and improving patient outcomes through timely intervention. This study proposes an annovaitive computer-aided (CAD) system the simultaneous segmentation classification MI using MRI images. The evaluated under two primary approaches: a serial approach, where first applied to extract image patches subsequent classification, parallel are performed concurrently full multi-class model identifies four key...
The examination, counting, and classification of white blood cells (WBCs), also known as leukocytes, are essential processes in the diagnosis many disorders, including leukemia, a kind cancer characterized by uncontrolled proliferation carcinogenic leukocytes marrow bone. Blood smears can be chemically or microscopically studied to better understand hematological diseases disorders. Detecting, identifying, categorizing cell types for disease therapy planning. A theoretical practical issue....
Breast cancer is one of the most widespread diseases causing death among women worldwide.Whenever a suspicion raised, periodical exams usually including digital mammograms (DM), Infrared thermography, magnetic resonance imaging (MRI), ultrasound (US), microscopic (histological) images, microwave or other tools tests might be recommended.Recently, many hardware and software have been applying different techniques for achieving high-quality results, especially machine learning.In this paper,...