🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

This repo provides the official code for : Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation

能够覆盖校招90%后端面试的资源库

Kolmogorov Arnold Networks

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Mamba SSM architecture

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

CoNIC Challenge

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

HoVer-Net inference code for simultaneous nuclear segmentation and classification

PointNu-Net Project

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Nuclei Instance Segmentation Pipeline for Histopathology Datasets

simple package for augmentation of n-dimensional arrays

Ressources of histopathology datasets

Encoder-Decoder Cell and Nuclei segmentation models

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.