Popular GitHub Repositories for Breast Ultrasound

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

Offical Code of MICCAI'24 early accepted paper "LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos"

A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

A JAX-based deep learning framework for image segmentation using diffusion models.

MICCAI 2023 code for the paper: Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. EchoDiffusion is a collection of video diffusion models trained from scratch on the EchoNet-Dynamic dataset with the imagen-pytorch repo.

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Homomorphic Encryption and Federated Learning based Privacy-Preserving

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Official repository of FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis

cardiAc ultrasound Segmentation & Color-dopplEr dealiasiNg Toolbox (ASCENT)

Official Pytorch Code base for "Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model"

Developed a custom application of the Segment Anything Model (SAM) for breast cancer tissue segmentation, utilizing Hugging Face's Transformers and fine-tuning the decoder to predict segmentation masks in medical imaging.

zea: A Toolbox for Cognitive Ultrasound Imaging

Code repository for the 2023 MICCAI Paper "Differentiable Beamforming for Ultrasound Autofocusing"