脑部 MRI 肿瘤分类图像包
真实开源数据集封装(SKU-103):脑部 MRI 四分类肿瘤图像。ImageFolder(glioma / meningioma / no tumor / pituitary);GitHub 公开集。
提供商: 平台自营
AI 就绪: 可对接训练 / RAG · 查看通道说明 · 同类筛选
专区: AI 语料
交付形态:文件包
适用场景
1 / 5场景说明
本数据包「脑部 MRI 肿瘤分类图像包」适用于以下场景:
1
医疗影像多分类公开视觉基线(ImageFolder)
2
医学 AI 教学与 CNN 迁移学习练习
3
与自然图像任务对照的模态差异实验
不适用于:临床诊断、患者筛查或替代医院标注数据。
使用指南
2 / 5通过统一 API 拉取数据(全站接口相同,仅替换 slug)。
-
1
获取凭证
登录 → 购买 → 在 申请 API Key 签发密钥(仅显示一次)
-
2
发起请求
GET /api/v1/data/healthcare-brain-mri-tumor/rows?page=1&size=10,Header:X-API-Key -
3
解析响应
从 JSON 的
rows取数据,用total翻页 -
4
处理错误
401密钥无效 ·403未购买/无权 ·400参数错误 ·429过频 ·502上游失败
数据集说明
3 / 5SKU-103 脑部 MRI 肿瘤分类图像包
- 源:Brain Tumor Classification MRI (SartajBhuvaji)
- 类型:image
- 行业:healthcare
- 许可:Upstream not specified (GitHub public); review before redistribution
字段 Schema
4 / 5{
"classes": [
"glioma_tumor",
"meningioma_tumor",
"no_tumor",
"pituitary_tumor"
],
"counts_per_class": {
"glioma_tumor": 400,
"meningioma_tumor": 400,
"no_tumor": 395,
"pituitary_tumor": 400
},
"format": "image_folder",
"image_exts": [
".jpg"
],
"layout": "images/\u003cclass\u003e/*",
"license_hint": "Upstream not specified (GitHub public); review before redistribution",
"source_name": "Brain Tumor Classification MRI (SartajBhuvaji)",
"source_url": "https://github.com/SartajBhuvaji/Brain-Tumor-Classification-DataSet"
}
调用示例
5 / 5路径中的 slug 换成已购商品标识即可。完整说明见 API 文档。
curl -H "X-API-Key: ds_你的密钥" \ "https://www.dataocean.zhixxing.cn/api/v1/data/healthcare-brain-mri-tumor/rows?page=1&size=10"
import requests
r = requests.get(
"https://www.dataocean.zhixxing.cn/api/v1/data/healthcare-brain-mri-tumor/rows",
headers={"X-API-Key": "ds_你的密钥"},
params={"page": 1, "size": 10},
timeout=30,
)
r.raise_for_status()
print(r.json())
const apiKey = "ds_你的密钥";
const url = new URL("https://www.dataocean.zhixxing.cn/api/v1/data/healthcare-brain-mri-tumor/rows");
url.searchParams.set("page", "1");
url.searchParams.set("size", "10");
const resp = await fetch(url, {
headers: { "X-API-Key": apiKey },
});
if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
const payload = await resp.json();
console.log(payload);
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
var client = HttpClient.newHttpClient();
var request = HttpRequest.newBuilder()
.uri(URI.create("https://www.dataocean.zhixxing.cn/api/v1/data/healthcare-brain-mri-tumor/rows?page=1&size=10"))
.header("X-API-Key", "ds_你的密钥")
.GET()
.build();
var response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.statusCode());
System.out.println(response.body());
package main
import (
"fmt"
"io"
"net/http"
)
func main() {
req, _ := http.NewRequest("GET",
"https://www.dataocean.zhixxing.cn/api/v1/data/healthcare-brain-mri-tumor/rows?page=1&size=10", nil)
req.Header.Set("X-API-Key", "ds_你的密钥")
resp, err := http.DefaultClient.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(resp.StatusCode, string(body))
}
using System.Net.Http;
var client = new HttpClient();
client.DefaultRequestHeaders.Add("X-API-Key", "ds_你的密钥");
var json = await client.GetStringAsync("https://www.dataocean.zhixxing.cn/api/v1/data/healthcare-brain-mri-tumor/rows?page=1&size=10");
Console.WriteLine(json);
1 / 5