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[NeurIPS 2023] The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification

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This is a PyTorch/GPU implementation of the Expert Systems With Applications 2022 paper: AIM-MEF: Multi-Exposure Image Fusion Based on Adaptive Information Mining in Both Spatial and Frequency Domains.

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MILBooster

Official PyTorch Code of our ICCV2023 paper MILBooster

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[NeurIPS 2023] The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification

Language:Python1900

FCMEF

This is a PyTorch/GPU implementation of the Information Fusion 2022 paper: Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning.:

Language:Python1000

LNMNet

Official Pytorch Implementation of our new paper 'Predicting Lymph Node Metastasis from Primary Cervical Cancer Based on Deep Learning in Histopathological Images.'

Language:Python1000

SeCo

[CVPR2024] Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation

Language:Python5000

CCQ

[AAAI2023] CCQ: Cross-class Query Network for Partially Labeled Organ Segmentation

Language:Python200

DGMIL

Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.

Language:Python3200

WENO

Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

Language:Python5500

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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PointCNN

Unofficial PyTorch implementation of PointCNN for segmentation

Language:Python200

TransMEF

Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.

Language:Python15100

3DUNet-BraTS-PyTorch

PyTorch 3D U-Net implementation for Multimodal Brain Tumor Segmentation (BraTS 2021)

Language:Python5900