panxipeng's repositories

nuclear_segandcls

Nuclear Segmentation and Classification with Imbalanced Annotations.

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compath

deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma"

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Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

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CAMELYON

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

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cavia

Code for "Fast Context Adaptation via Meta-Learning"

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CGC-Net

cell graph convolutional network

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deep-stroma-histology

Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer

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deepcell-tf

Deep Learning Library for Single Cell Analysis

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deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

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Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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EMLM

LesionMix Data Enhancement and Entropy Minimization for Semi-supervised Lesion Segmentation of Lung Cancer

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fewshot-segmentation

On the Texture Bias for Few-Shot CNN Segmentation

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FSMS-Surrogate

Semi-supervised few-shot learning for medical image segmentation

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HE-WSI-lungTILs

Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma: a multi-institutional study

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hover_net_modified

2nd Place Submission to ISBI 2020's MoNuSAC Post-Challenge

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MASSL-segmentation-framework

Multi-task Attention-based Semi-supervised Learning framework for image segmentation

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MetaVOS

Official code for the paper titled "Meta Learning Deep Visual Words for Fast Video Object Segmentation"

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Nuclear-Segmentation-and-Classification-with-Imbalanced-Annotations

Deep Cost-Sensitive Network for Nuclear Segmentation and Classification with Imbalanced Annotations

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Nuclei-Segmentation

This repository contains an implementation of a deep learning Mask R-CNN algorithm for nuclei segmentation from whole slide images of tissue sections using data from our MoNuSeg Challenge.

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PDBL

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning

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PG-MLIF

This study proposes a novel PG-MLIF framework, that employs deep learning, for integrating pathological images and genomic data. The codes will coming soon...

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pma_python

Python wrapper library for PMA.start, a universal viewier for whole slide imaging and microscopy

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transferlearning-tutorial

《迁移学习简明手册》LaTex源码

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Triple_U-net

The code of Triple U-net: Hematoxylin-aware Nuclei Segmentation with Progressive Dense Feature Aggregation.

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tx100_compath

statistical analyses and figures code provided for the publication "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma"

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