Lymphoma Diagnosis via Deep Learning: A Study Based on Digitized Lymph Node Imprint Cytology

Authors

Youssef Chahir (ORCID: https://orcid.org/0000-0002-1417-5317)
Marie–Laure Ranty (ORCID: https://orcid.org/0000-0002-9025-6768)
Alexandre Perier
Imane Jagour
Pierre Goineau
Thomas Neveu

Institutions

GREYC (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-06-30
Primary Topic: AI in cancer detection
Type: article
Field-Weighted Citation Impact: 0.00

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article

Lymphoma Diagnosis via Deep Learning: A Study Based on Digitized Lymph Node Imprint Cytology

Youssef Chahir, Marie–Laure Ranty, Alexandre Perier, Imane Jagour et al.

Jun 30, 2025

SPIRE - Sciences Po Institutional REpository

AI in cancer detection

article

Lymphoma Diagnosis via Deep Learning: A Study Based on Digitized Lymph Node Imprint Cytology

Youssef Chahir, Marie–Laure Ranty, Alexandre Perier, Imane Jagour, Pierre Goineau, Thomas Neveu

June 30, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

GREYC (FR)

Openalex Percentile: Top 86%

AI in cancer detection

OpenAlex

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Lymphoma Diagnosis via Deep Learning: A Study Based on Digitized Lymph Node Imprint Cytology — Youssef Chahir, Marie–Laure Ranty, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS