Diploma project
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Updated
May 31, 2024 - TypeScript
Diploma project
A generalizable application framework for segmentation, regression, and classification using PyTorch
Medical Diagnosis using Contrastive Learning
Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
⚡High Performance DICOM Medical Image Parser in Go.
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
A browser-based tool for image annotation
Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
PyTorch-based toolkit for landmark detection
Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data
Source code for the paper "Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images"
Improving Chest X-Ray Report Generation by Leveraging Warm-Starting
a paper aiming to write different AIs to classify MRI images of brain metastases based on their primary cancers
Medical imaging toolkit for deep learning
[MedIA] Accompanying paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
An AI medical assistance that can analyze xray data and give diagnosis using Google's Gemini model.
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
A Python bootcamp for medical students designed to teach basic DICOM and imaging data handling skills.
The official website for uniGradICON: A Foundation Model for Medical Image Registration
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