DEEP LEARNING IN BIOMEDICAL IMAGING, KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

Title
DEEP LEARNING IN BIOMEDICAL IMAGING

Hybrid Event
DEEP LEARNING IN BIOMEDICAL IMAGING
One Credit Course (OCC) Dept. Level
DATE
Apr 15, 2025 to Apr 17, 2025
TIME
09:00 AM to 04:20 PM
DEPARTMENT
BM
TOTAL PARTICIPATES
2
DEEP LEARNING IN BIOMEDICAL IMAGING
Summary

1. Image Classification

  • Detecting diseases (e.g., pneumonia from chest X-rays, tumors from MRI).

  • Tools: CNNs (Convolutional Neural Networks), ResNet, EfficientNet.

2. Image Segmentation

  • Separating anatomical structures or pathological regions (e.g., tumor boundaries).

  • Tools: U-Net, Mask R-CNN, DeepLab.

3. Image Registration

  • Aligning images taken at different times or from different angles/modalities.

  • Tools: VoxelMorph, spatial transformer networks.

4. Object Detection

  • Identifying regions of interest (e.g., polyps, nodules).

  • Tools: YOLO, Faster R-CNN.

5. Image Reconstruction

  • Enhancing image quality, reducing noise, or reconstructing from raw data.

  • Tools: Deep convolutional autoencoders, GANs.

6. Disease Prediction/Diagnosis

  • End-to-end models for diagnosis support.

  • Tools: Ensemble networks, hybrid DL and radiomics approaches.


***END***


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