Parameter-efficient brain lesion segmentation using MedSAM and LoRA on the MICCAI WMH Challenge dataset.
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Sep 21, 2026 - Jupyter Notebook
#
medsam
Here are 21 public repositories matching this topic...
VGG16-UNet vs LoRA-fine-tuned MedSAM for prostate segmentation on micro-ultrasound
computer-vision deep-learning pytorch medical-imaging lora unet ultrasound medical-image-segmentation prostate-segmentation huggingface-transformers segment-anything parameter-efficient-fine-tuning medsam
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Sep 10, 2026 - Python
Anatomy-guided Cross-modal Fusion for automated radiology report generation from DICOM CT scans. Built with CT-CLIP, MedSAM, GatorTron, and LLaMA-3 (LoRA).
nlp computer-vision deep-learning dicom pytorch medical-imaging llama lora radiology ct-scans fastapi report-generation cross-attention medsam gatortron
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Mar 29, 2026 - Python
MedSAM enhanced with CLIP text descriptors for multi-organ medical image segmentation, evaluated on 24k labeled CT slices from FLARE 2022.
deep-learning pytorch medical-imaging image-segmentation clip multimodal cumputer medsam cumputer-vision
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Oct 15, 2025 - Python
Parameter-efficient LoRA fine-tuning of MedSAM (ViT-B) for prostate segmentation, achieving 95.7% Dice and 91.9% IoU.
computer-vision deep-learning pytorch medical-imaging lora image-segmentation peft prostate-segmentation vision-transformer medsam
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Apr 26, 2026 - Python
Fine-tuning MedSAM and SAM for medical image segmentation with custom prompt strategies
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Jun 22, 2026 - Python
VGG16-UNet vs LoRA-fine-tuned MedSAM for prostate segmentation on micro-ultrasound
computer-vision deep-learning pytorch medical-imaging lora unet ultrasound medical-image-segmentation prostate-segmentation huggingface-transformers segment-anything parameter-efficient-fine-tuning medsam
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Sep 11, 2026 - Python
Web-based semi-automated retinal fluid segmentation tool for OCT images. Combines traditional image processing with deep learning models (U-Net, MedSAM) to help medical professionals efficiently annotate and segment retinal fluid regions. Features interactive annotation tools, multiple segmentation algorithms, and user-friendly web interface.
opencv django computer-vision deep-learning image-annotation pytorch web-application image-segmentation annotation-tool medical-image-processing u-net retinal-segmentation biomedical-ai medsam oct-imaging
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Jul 10, 2025 - CSS
Reproducible, model-agnostic prompt evaluation for medical segmentation.
python reproducible-research medical-imaging medical-image-segmentation interactive-segmentation segment-anything promptable-segmentation medsam
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Aug 19, 2026 - Python
Reproducible cardiac MRI SAX segmentation workflow with ACDC validation, Dice/HD95 metrics, QC overlays, and failure analysis
deep-learning dicom sax medical-imaging segmentation reproducibility nifti acdc cardiac-segmentation cmr medical-ai monai nnunet cardiac-mri medsam
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Jun 6, 2026 - Python
Machine Learning for Medical Image Processing. Project done for Charité, the university hospital of Berlin. The aim was to segment coronary arteries and then extract a graph from it, in order to aid detection of coronary artery disease (CAD).
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Nov 13, 2025 - Python
DICOM ROI annotation & analysis desktop tool (PySide6): SAM / MedSAM / SAM-Med2D-3D interactive segmentation + 5 classical CV ROI detectors, with an MCP bridge for AI-agent driven workflows. 医学影像 ROI 标注与分析桌面工具。
python dicom medical-imaging image-segmentation roi medical-image-analysis pyside6 segment-anything model-context-protocol medsam sam-med3d sam-med2d
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Oct 6, 2026 - Python
SegMed: Implementation of MedSAM segmentation and enhancement with FeatUp and GAFL
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May 31, 2024 - Jupyter Notebook
This is the official repository of Team Anastasia, which achieved 1st place in ImageCLEF 2025 Dermatological Segmentation Challenge (Subtask 1)..
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May 26, 2025 - Python
A comprehensive benchmark study evaluating the robustness of Segment Anything Model (SAM) and its medical domain adaptation (MedSAM) under realistic noisy medical imaging conditions.
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Jan 29, 2026 - Jupyter Notebook
Benchmarking SAM and MedSAM on ISIC 2018 melanoma segmentation — with a focus on the deployment gap: published SAM papers measure performance using ground-truth-derived prompts that are unavailable in real clinical settings. This project quantifies that gap.
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Apr 2, 2026 - Python
Semi-supervised tumor segmentation with MedSAM2 confidence-gated pseudo-label refinement(KiTS21 & LiTS)
deep-learning pytorch medical-imaging semi-supervised-learning image-segmentation tumor-segmentation nnunet medsam
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Sep 6, 2026 - Python
Monorepo containing the frontend (Next.js), backend (Node.js + Express.js), and GPU inference service (TensorRT-optimized Python engine) for a cardiac segmentation application, streamlining local deployment.
nodejs python docker dockerfile typescript docker-compose nextjs expressjs yolo local-deployment medsam
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Jan 7, 2026 - PowerShell
Official research implementation: Semi-Supervised Brain Tumor Segmentation Using Medical Foundation Models Under Limited Annotation (BraTS-Africa SSA Benchmark).
deep-learning pytorch semi-supervised-learning medical-image-segmentation brain-tumor-segmentation monai foundation-models medsam brats-africa
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Oct 7, 2026 - Jupyter Notebook
Fine-tune MedSAM with LoRA for parameter-efficient prostate segmentation on micro-ultrasound, underpinned by a VGG16-UNet CNN baseline.
computer-vision deep-learning pytorch medical-imaging lora unet ultrasound medical-image-segmentation prostate-segmentation segment-anything parameter-efficient-fine-tuning medsam
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Oct 9, 2026 - Python
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