使用pytorch完成的一个多模态分类任务，文本和图像部分分别使用了bert和resnet提取特征（在config里可以组合多种模型）,在我的小规模数据集上取得了良好的性能（验证集acc96%）

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20年春季学期 倪冰冰老师EI228机器学习大作业 3D医学影像分类

The purpose of this project is to be able to automatically and efficiently segment and classify high-grade and low-grade gliomas.

Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Documentation for GitHub Copilot

A Tensorflow implementation of SegNet for cardiac MRI segmentation

pytorch application for 3D classification using medical images

Master thesis: Convolutional Neural Networks for Classification of Alzheimer’s Disease and Mild Cognitive Impairment from 3D Brain MRI Images. MRI image data obtained from: http://adni.loni.usc.edu/

Resurces for MRI images processing and deep learning in 3D

3D image classification using CNN (Convolutional Neural Network)

These scripts were created to perform Radiomics on three-dimensional medical images (PET and CT). The scripts can be used to perform classification of all kinds of images (both two-dimensional and …

Official elastix repository

Predicting genetics and providing segmentation of glioma

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

Code for paper: "Post-hoc Overall Survival Time Prediction from Brain MRI"

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

Reviatalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Multi-scale Domain-adversarial Multiple Instance Learning CNN (CVPR2020)

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

Hopfield Networks is All You Need

A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet

Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification