Papers with Code 아카이브
Ischemic Stroke Lesion Segmentation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/NIC-VICOROB/SUNet-architecture
공식 코드Acute and sub-acute stroke lesion segmentation from multimodal MRI
https://github.com/NIC-VICOROB/stroke-mri-segmentation
공식 코드Acute and sub-acute stroke lesion segmentation from multimodal MRI
https://github.com/biomedical-data-analysis-laboratory/adnet-for-ais-segmentation
공식 코드Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
https://github.com/ezequieldlrosa/isles22
공식 코드ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
https://github.com/pykao/ISLES2017-mRS-prediction
공식 코드Predicting Clinical Outcome of Stroke Patients with Tractographic Feature
https://github.com/tabrisrei/isles22_ensemble
공식 코드https://github.com/wenhui0206/MeanTeacher-DeepMedic
공식 코드Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
https://github.com/BoujlidaMohamed/Segmentation-Loss-Keras
https://github.com/JunMa11/SegWithDistMap
https://github.com/LIVIAETS/boundary-loss
https://github.com/bluesky314/Segmentation_Boundry_loss
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.