A5092357285- AI in cancer detection
- Elevator Systems and Control
- Radiomics and Machine Learning in Medical Imaging
- Building Energy and Comfort Optimization
- Smart Grid Energy Management
- Colorectal Cancer Screening and Detection
International Institute of Information Technology
2023-2024
Indian Institute of Technology Indore
2023
Colorectal cancer, a highly lethal form of can be treated effectively if detected early. However, the current diagnosis process involves time-consuming and manual review CT scans to identify cancerous regions behavior, leading resource consumption, subjectivity, dependency on assessment. We propose 3-phase deep neural system for automated colorectal cancer detection using scan images address these challenges. It includes SegNet network tumor locations, an InceptionResNet V2 classify tumors...
Objective: Detecting colorectal cancer early is critical for successful treatment, particularly when the cells are localized in bowel. Computed tomography (CT) scan a widely used diagnostic technique. However, manual inspection of CT images time-consuming and subject to high levels subjectivity. To overcome these issues, this study proposes 3-phase deep learning architecture automated detection classification stages using images.Methods: The consists SegNet network that identifies tumor...