A5040270543- Brain Tumor Detection and Classification
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Medical Image Segmentation Techniques
- Advanced Clustering Algorithms Research
- Graphene and Nanomaterials Applications
- Nanocluster Synthesis and Applications
- Cutaneous Melanoma Detection and Management
- Nonmelanoma Skin Cancer Studies
- Advanced Neural Network Applications
- Complex Network Analysis Techniques
- Data Stream Mining Techniques
- Advanced Nanomaterials in Catalysis
- Machine Learning and ELM
- Cutaneous lymphoproliferative disorders research
- COVID-19 diagnosis using AI
Dr. Hari Singh Gour University
2023-2024
Visvesvaraya Technological University
2022
Abstract To enhance patient longevity and accurately diagnose life-threatening diseases like brain tumors, the initial step of tumor classification holds immense importance. Medical imaging technologies are instrumental in identifying pathological conditions within brain, with Magnetic Resonance Imaging (MRI) being widely preferred due to its superior image value non-ionizing radiation properties. The integration deep learning, a subset artificial intelligence, has significantly propelled...
The precision of liver tumor segmentation heavily depends on the doctor's expertise, hence it is required to produce an algorithm for automatic reduce manual intervention in assessing disease identification. We propose a CNN-based UNet architecture designed segment tumors from CT images size 128×128. In this model, modifications were made encoder, decoder, and bridge paths enhance feature extraction efficiency. performance modified was evaluated against existing method using same image size....
Clustering is an important data analysis technique for extracting knowledge and hidden patterns in the data. Recently hybrid clustering algorithms have been proposed to solve local optimum poor robustness problem due improper selection of initial cluster centroids traditional algorithms. In algorithms, solved as optimization by invoking find optimal centroid. Many integrating different swarm proposed. However, these were not designed on-fly streaming This necessary real-time requirements...