Papers with Code 아카이브

Liver Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

9

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mrgiovanni/suprem

Med3D: Transfer Learning for 3D Medical Image Analysis

https://github.com/taojlu/Liver-and-Tumor-Segmentation-Papers-List

Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study

https://github.com/xmengli999/H-DenseUNet

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

https://github.com/yangyucheng000/papercode-2/tree/main/MED_MindSpore

Med3D: Transfer Learning for 3D Medical Image Analysis

https://github.com/youngyoung112/MedicalNet223

Med3D: Transfer Learning for 3D Medical Image Analysis

https://github.com/zz10001/LITS2017-main1

The Liver Tumor Segmentation Benchmark (LiTS)

https://gitlab.com/nct_tso_public/surgical-video-sim2real

Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.