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Hover-net for nuclei instance segmentation and classification
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)
Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
fightingkitty / Unpaired-Stain-Transfer-using-Pathology-Consistent-Constrained-Generative-Adversarial-Networks
Forked from Pathology-Consistent-Stain-Transfer/Unpaired-Stain-Transfer-using-Pathology-Consistent-Constraine...Our solution for ICIAR 2018 Grand Challenge
Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
🎹A simple & beautiful & fast theme for Hexo.
The code and pretrain models of EDAM-WSSS(Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation)
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
Segmenting WSIs using Deep Convolutional Neural Networks
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Open source tools for computational pathology - Nature BME
LaTeX Template for Shanghai University Master's Thesis.
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Using K-means and Normalized Cut for image segmentation. Results are shown in an included report.
《Python深度学习基于PyTorch》 Deep Learning with Python and PyTorch 作者：吴茂贵 郁明敏 杨本法 李涛 张粤磊 等
AI-based pathology predicts origins for cancers of unknown primary - Nature
Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别
Material Design icons by Google (Material Symbols)