medical-imaging-with-deep-learning

Here are 10 public repositories matching this topic...

TorchIO-project / torchio

Medical imaging processing for AI applications.

python machine-learning deep-learning pytorch medical-image-computing medical-images data-augmentation augmentation medical-image-processing medical-image-analysis medical-imaging-datasets medical-imaging-with-deep-learning

Updated Dec 1, 2025
Python

pianoza / LayerEnsembles

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The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).

uncertainty-quantification uncertainty-estimation cardiac-segmentation medical-imaging-with-deep-learning breast-cancer-segmentation segmentaton

Updated Jul 20, 2022
Python

moucheng2017 / MisMatch-Semi-Seg

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[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation

computer-vision calibration semi-supervised-learning segmentation medical-image-segmentation midl-conference medical-imaging-with-deep-learning morphological-operations consistency-regularization feature-augmentation midl2022 differential-morphological-operation

Updated Mar 16, 2025
Jupyter Notebook

JiaxinZhuang / CARE

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Officail Pytorch implementation for: Class Attention to Regions of Lesion for Classification on Imbalanced Data. (MIDL-2019)

pytorch attention care imbalanced-data lesion midl2019 medical-imaging-with-deep-learning

Updated Nov 7, 2020
Python

NeuroCure is a cutting-edge project focused on the detection and classification of brain tumors, leveraging the power of deep learning for advanced medical image analysis. Developed using TensorFlow and a variety of custom models, this initiative aims to deliver accurate and efficient identification of brain tumors from MRI scans.

machine-learning deep-learning medical-imaging-with-deep-learning healthcare-ai brain-tumor-detection-classification

Updated Sep 6, 2025
Jupyter Notebook

PK007788 / Leukemia_Detector_And_Predictor_Using_ResNet_Main

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Leukemia cell detection system using advanced segmentation and a fine-tuned ResNet50 model, with a complete backend API and Streamlit-based frontend.

flask deep-learning cnn-keras medical-image-processing cnn-classification resnet50 medical-image-segmentation streamlit medical-imaging-with-deep-learning healthcare-ai

Updated Dec 12, 2025
Python

mwasifanwar / mediScanAI

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A deep learning system that analyzes medical images (X-rays, CT scans, MRIs) to assist healthcare professionals in detecting diseases like cancer, pneumonia, and fractures. Implements multi-modal learning with explainable AI for clinical trustworthiness.

computer-vision deep-learning pytorch medical-imaging deep-learning-algorithms radiology computer-vision-algorithms computer-vision-tools explainable-ai pytorch-implementation multi-modal-learning medical-imaging-with-deep-learning healthcare-ai explainable-ai-in-medical-imaging

Updated Nov 5, 2025
Python

Monica-Ashok / ML-Evolution-Lab

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This repository is a curated collection of evolving machine learning projects—from bite-sized real-world use cases like diabetes prediction to more advanced pipelines integrating MLOps workflows. Every weekly build is crafted to deepen understanding, spark creative experimentation, and push the boundaries of applied AI.

machine-learning deep-neural-networks medical-image-analysis medical-imaging-with-deep-learning generative-ai