2601.15202v1.pdf
Extension
Size
7 MiB
Media Type
application/pdf
SHA-256 is a widely used cryptographic hash function.
This sequence of letters and numbers can be used as a unique identifier for this file
File Hash: SHA-256
9943821ecbc6eb2d0fdb5fc97a928f434ceab0ea81550355370accc61eb873a6
Annotations
Structured records describing the file.
Read moreTitle
A Computer Vision Hybrid Approach: CNN and Transformer Models for Accurate Alzheimer's Detection from Brain MRI Scans
Version
1.7
Page Count
15
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "9943821ecbc6eb2d0fdb5fc97a928f434ceab0ea81550355370accc61eb873a6",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.15202v1.pdf",
"size": 7501964
},
"source": {
"execution_id": "6f5133c1-7ef7-4209-a209-0b4ae6d390ce",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"keywords": [],
"page_count": 15,
"producer": "pikepdf 8.15.1",
"title": "A Computer Vision Hybrid Approach: CNN and Transformer Models for Accurate Alzheimer\u0027s Detection from Brain MRI Scans",
"version": "1.7"
},
"source": {
"execution_id": "1a63426c-9a95-473e-92cd-c474ca59f1fd",
"id": "dorsal/pdf",
"type": "Model",
"version": "1.1.0"
}
}
}
The number of unique users who have indexed this public file record
The date this file's metadata was first publicly indexed by any user.
The most recent date this file's metadata was publicly indexed by any user.
File Statistics
- Views:
- 34
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17