Update README with complete feature list and usage instructions

README.md

@@ -18,18 +18,35 @@ A medical image segmentation application using SAM 3 (Segment Anything Model 3)
 
 - 🧠 **SAM 3 Integration**: Uses the latest Segment Anything Model 3 for medical image segmentation
 - 📁 **DICOM Support**: Process CT and MRI DICOM files
+- 🖼️ **Image Formats**: Supports DICOM (.dcm), PNG, and JPG files
 - 🎯 **Text Prompts**: Describe what you want to segment (e.g., "brain", "tumor", "skull")
 - ⚙️ **Windowing Strategies**: Optimized windowing presets for CT images
 - 🎨 **Visualization**: Overlay segmentation masks on medical images
+- 📊 **Interactive Slice Viewer**: Scroll through multiple slices from the same subject
+- 🔍 **Subject Detection**: Automatically groups images by patient/subject ID
+- 📈 **Ground Truth Comparison**: Compare SAM 3 results with expert annotations (Dice score, IoU)
 
 ## Usage
 
-1. Upload a DICOM (.dcm) file
+### Single Image Processing
+1. Upload a DICOM (.dcm), PNG, or JPG file
 2. Enter a text prompt describing what to segment
 3. Select the imaging modality (CT or MRI)
 4. Choose the windowing strategy (for CT images)
 5. Click "Segment Structure" to process
 
+### Interactive Slice Viewer
+1. Upload multiple slices/images from the same subject
+2. Click "🔍 Detect Subjects" to auto-group by patient ID
+3. Select a subject from the dropdown
+4. Click "Process All Slices"
+5. Use the slider or navigation buttons to scroll through slices
+
+### Compare with Ground Truth
+1. Upload a medical image and its ground truth mask
+2. Enter segmentation prompt
+3. Click "Compare Segmentation" to see metrics (Dice score, IoU)
+
 ## Requirements
 
 - Python 3.8+