https://github.com/lxj22/surgplan-plus
공식 코드SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline Inference
Papers with Code 아카이브
Offline surgical phase recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Offline surgical phase recognition: the first 40 videos to train, the last 40 videos to test.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CAMMA-public/ai4surgery
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
https://github.com/CAMMA-public/cholect50
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
https://github.com/YuemingJin/MTRCNet-CL
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
https://github.com/YuemingJin/TMRNet
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
https://github.com/camma-public/ssg-qa
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
https://github.com/camma-public/ssg-vqa
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
https://github.com/camma-public/tf-cholec80
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
https://gitlab.com/nct_tso_public/ins_ant
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
https://gitlab.com/nct_tso_public/pitfalls_bn
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.