Essenthrona

Our Feature

Provides identification features related to blood cell abnormality through input image detection that generates predictions

Image Detection

Users can do identification using image data (peripheral blood smear image) in jpg/jpeg format.

Result

The identification result is a class prediction with accuracy, nearest probability, and an explanation of the detection result.

Unlimited to Use

we do not limit the use of this identification system, so it is expected to help more in the identification process.

Essenthrona

Essential Thrombocythemia Detection Disease

We provide a system for identifying blood cell abnormalities in this case Platelets, through images of peripheral blood smear images. The purpose of this detection system is to determine whether the identified cells belong to Normal Platelets, Giant Platelets or Leukocytes.

If the results show the presence of Giant platelets then there is a high probability of Essential Thrombocythemia disease being identified.

The Development Team

Building The Future.

Zilvanhisna Emka Fitri, ST., MT

Dosen D4 Teknik Informatika
Politeknik Negeri Jember

Ir. Arizal Mujibtamala Nanda Imron, ST., MT

Dosen D4 Teknologi Rekayasa Elektronika
Universitas Negeri Jember

dr. Sylvia Viana Varanita, Sp.PK

Dokter Patologi Klinik
UOBK RSUD Asembagus Situbondo

Deni Catur Kusumawati

Mahasiswa D4 TI
Politeknik Negeri Jember