# Digital Imaging for Blood Diseases

{
  "id": "T12874",
  "title": "Digital Imaging for Blood Diseases",
  "url": "/topics/T12874",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "c1f87fd3698861a4",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "38285820725215447",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    17,
    1707,
    12874
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers focuses on the automated analysis of blood cell images, particularly in the context of detecting malaria parasites and classifying leukemia. The research utilizes techniques such as image processing, convolutional neural networks, and machine learning for tasks including white blood cell segmentation, feature extraction, and automated diagnosis from microscopic blood images.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T12874

No owner-reviewed local answer yet.