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An open source implementation of CLIP.
A PyTorch Lightning solution to training OpenAI's CLIP from scratch.
GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition
[NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
The official codes for "PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents"
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts
MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images (ISBI 2021, MELBA 2021)
【南生论坛】- 开源Java论坛（社区/问答/BBS/社交网络/博客），仿掘金风格，技术架构采用SpringBoot + Vue，前后端分离，多端适配，界面优雅，功能全面，性能高效，企业级微服务开源项目。官方地址：https://bbs.nanshengbbs.top
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation