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Medical Image Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
1
평가표
11
보존된 평가 기록
20

Medical Image Classification is a task in medical image analysis that involves classifying medical images, such as X-rays, MRI scans, and CT scans, into different categories based on the type of image or the presence of specific structures or diseases. The goal is to use computer algorithms to automatically identify and classify medical images based on their content, which can help in diagnosis, treatment planning, and disease monitoring.

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

NCT-CRC-HE-100K

원본 태스크: Classification / Medical Image Classification

평가 기록 7건

Chest X-Ray14 2% labeled

원본 태스크: Classification / Medical Image Classification / Semi-supervised Medical Image Classification

평가 기록 4건

IDRiD

원본 태스크: Classification / Medical Image Classification

평가 기록 2건

ImageNet

원본 태스크: Classification / Medical Image Classification

평가 기록 2건

PCOS Classification

원본 태스크: Classification / Medical Image Classification

평가 기록 2건

CheXphoto

원본 태스크: Classification / Medical Image Classification

평가 기록 1건

COVIDGR

원본 태스크: Classification / Medical Image Classification

평가 기록 1건

Galaxy10 DECals

원본 태스크: Classification / Medical Image Classification

평가 기록 1건

ISIC 2017

원본 태스크: Classification / Medical Image Classification

평가 기록 1건

Malaria Dataset

원본 태스크: Classification / Medical Image Classification

평가 기록 1건

OASIS 3

원본 태스크: Classification / Medical Image Classification

평가 기록 1건

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