biomedical-image-processing topic

Mesh-based Monte Carlo (MMC)

fangq

Segmenting WSIs using Deep Convolutional Neural Networks

sacmehta

Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels

anjanatiha

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

aangelopoulos

Scalable Optical Flow-based Image Montaging and Alignment

google-research

Open source Python library for building bioimage analysis pipelines

BiaPyX

UNet based model that segment retina to 8 layers in OCT images

Beknaizer

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

hoang-ho

Marching Cubes & Mesh Simplification on multi-label 3D images.

seung-lab

Visual Med-Alpaca is an open-source, multi-modal foundation model designed specifically for the biomedical domain, built on the LLaMa-7B.

cambridgeltl