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lhlm1994's Projects

adrenal_segmentation icon adrenal_segmentation

This is the official implementation of "An optimized two-stage cascaded deep neural network for adrenal segmentation on CT images".

alignshift icon alignshift

[MICCAI'21] A3D + [MICCAI'20] AlignShift: A Codebase for Universal Lesion Detection (DeepLesion)

bypy icon bypy

Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

cadlab icon cadlab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

cnn-dailymail icon cnn-dailymail

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

decgan icon decgan

[MICCAI2019] Chest X-ray decomposition with unpaired CT knowledge

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detr icon detr

End-to-End Object Detection with Transformers

diou icon diou

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

fast_abs_rl icon fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

fcos icon fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

hrnet-object-detection icon hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

labelimg icon labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lxmert icon lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

medicalnet icon medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

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