AIMC Topic: Mycosis Fungoides

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Deep learning as a new tool in the diagnosis of mycosis fungoides.

Archives of dermatological research Dec 26, 2022
Mycosis Fungoides (MF) makes up the most of the cutaneous lymphomas. As a malignant disease, the greatest diagnostical challenge is to timely differentiate MF from inflammatory diseases. Contemporary computational methods successfully identify cell n...
Humans Skin Neoplasms Deep Learning Biopsy Lymphocytes Mycosis Fungoides
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[Coexistence of mycosis fungoides and essential thrombocythemia with JAK2V617F].

Revista medica del Instituto Mexicano del Seguro Social Sep 2, 2019
BACKGROUND: The coexistence of myeloproliferative neoplasms (MPNs), specifically essential thrombocythemia and lymphoproliferative neoplasms, are a very rare finding with a frequency < 1%.
Humans Female Aged Mutation Gene Amplification Janus Kinase 2 Mycosis Fungoides Thrombocythemia, Essential
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Deep Learning-Based Classification of Early-Stage Mycosis Fungoides and Benign Inflammatory Dermatoses on H&E-Stained Whole-Slide Images: A Retrospective, Proof-of-Concept Study.

The Journal of investigative dermatology May 1, 2025
The diagnosis of early-stage mycosis fungoides (MF) is challenging owing to shared clinical and histopathological features with benign inflammatory dermatoses. Recent evidence has shown that deep learning (DL) can assist pathologists in cancer classi...
Humans Retrospective Studies Female Skin Neoplasms Aged Adult Male Middle Aged Deep Learning Diagnosis, Differential Neoplasm Staging Biopsy Skin Mycosis Fungoides Proof of Concept Study Dermatitis
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